dfpt Package¶
Contents
dpft
Package¶
This subpackage provides objects and functions for the analysis of DFPT calculations.
anaddbnc
Module¶
AnaddbNcFile provides a highlevel interface to the data stored in the anaddb.nc file.

class
abipy.dfpt.anaddbnc.
AnaddbNcFile
(filepath)[source]¶ Bases:
abipy.core.mixins.AbinitNcFile
,abipy.core.mixins.Has_Structure
,abipy.core.mixins.NotebookWriter
AnaddbNcFile provides a highlevel interface to the data stored in the anaddb.nc file. This object is usually instanciated with abiopen(“anaddb.nc”).

structure
[source]¶ abipy.core.structure.Structure
object.

ifc
[source]¶ InteratomicForceConstants
object with the interatomic force constants calculated by anaddb. None, if the netcdf file does not contain the IFCs.
Inheritance Diagram

structure
[source]

epsinf
[source] Macroscopic electronic
abipy.tools.tensors.DielectricTensor
in Cartesian coordinates (a.k.a. epsilon_infinity) None if the file does not contain this information.

property
emacro
¶

eps0
[source]¶ Relaxed ion macroscopic
abipy.tools.tensors.DielectricTensor
in Cartesian coordinates (a.k.a. epsilon_zero) None if the file does not contain this information.

property
emacro_rlx
¶

becs
[source] Born effective charges. None if the file does not contain this information.

ifc
[source] The interatomic force constants calculated by anaddb. The following anaddb variables should be used in the run:
ifcflag
,natifc
,atifc
,ifcout
. Return None, if the netcdf file does not contain the IFCs,

dchide
[source]¶ Nonlinear optical susceptibility tensor. Returns a
NLOpticalSusceptibilityTensor
or None if the file does not contain this information.

dchidt
[source]¶ Firstorder change in the linear dielectric susceptibility. Returns a list of lists of 3x3 Tensor object with shape (number of atoms, 3). The [i][j] element of the list contains the Tensor representing the change due to the displacement of the ith atom in the jth direction. None if the file does not contain this information.

oscillator_strength
[source]¶ A complex
numpy.ndarray
containing the oscillator strengths with shape [number of phonon modes, 3, 3], in a.u. (1 a.u.=253.2638413 m3/s2). None if the file does not contain this information.

elastic_data
[source]¶ Container with the different (piezo)elastic tensors computed by anaddb. stored in pymatgen tensor objects.


class
abipy.dfpt.anaddbnc.
AnaddbNcRobot
(*args)[source]¶ Bases:
abipy.abio.robots.Robot
This robot analyzes the results contained in multiple anaddb.nc files.
Inheritance Diagram

EXT
= 'anaddb'¶

property
has_elastic_data
¶

get_elastic_dataframe
(with_geo=True, abspath=False, with_params=False, funcs=None, **kwargs)[source]¶ Return a
pandas.DataFrame
with properties derived from the elastic tensor and an associated structure. Filename is used as index. Parameters
with_geo – True if structure info should be added to the dataframe
abspath – True if paths in index should be absolute. Default: Relative to getcwd().
with_params – False to exclude calculation parameters from the dataframe.
 kwargs:
 attrs:
List of additional attributes of the
abipy.electrons.gsr.GsrFile
to add to the DataFrame. funcs: Function or list of functions to execute to add more data to the DataFrame.
Each function receives a
abipy.electrons.gsr.GsrFile
object and returns a tuple (key, value) where key is a string with the name of column and value is the value to be inserted.

plot_elastic_properties
(fontsize=10, **kwargs)[source]¶  Parameters
fontsize – legend and label fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

ddb
Module¶
Python API for the DDB file containing the derivatives of the total Energy wrt different perturbations.

exception
abipy.dfpt.ddb.
AnaddbError
(*args, **kwargs)[source]¶ Bases:
abipy.dfpt.ddb.DdbError
Exceptions raised when we try to execute
abipy.flowtk.tasks.AnaddbTask
in theabipy.dfpt.ddb.DdbFile
methodsAn AnaddbError has a reference to the task and to the
EventsReport
that contains the error messages of the run.

class
abipy.dfpt.ddb.
DdbFile
(filepath)[source]¶ Bases:
abipy.core.mixins.TextFile
,abipy.core.mixins.Has_Structure
,abipy.core.mixins.NotebookWriter
This object provides an interface to the DDB file produced by ABINIT as well as methods to compute phonon band structures, phonon DOS, thermodinamical properties …
About the indices (idir, ipert) used by Abinit (Fortran notation):
idir in [1, 2, 3] gives the direction (usually reduced direction, cart for strain)
ipert in [1, 2, …, mpert] where mpert = natom + 6
ipert in [1, …, natom] corresponds to atomic perturbations (reduced dirs)
ipert = natom + 1 gives d/dk (reduced dirs)
ipert = natom + 2 gives the electric field
ipert = natom + 3 gives the uniaxial stress (cartesian dirs)
ipert = natom + 4 gives the shear strees. (cartesian dirs)
Inheritance

exception
AnaddbError
(*args, **kwargs)¶ Bases:
abipy.dfpt.ddb.DdbError
Exceptions raised when we try to execute
abipy.flowtk.tasks.AnaddbTask
in theabipy.dfpt.ddb.DdbFile
methodsAn AnaddbError has a reference to the task and to the
EventsReport
that contains the error messages of the run.

classmethod
from_mpid
(material_id, api_key=None, endpoint=None)[source]¶ Fetch DDB file corresponding to a materials project
material_id
, save it to temporary file and return new DdbFile object.Raises: MPRestError if DDB file is not available
 Parameters
material_id (str) – Materials Project material_id (e.g., mp1234).
api_key (str) – A String API key for accessing the MaterialsProject REST interface. If None, the code will check if there is a PMG_MAPI_KEY in your .pmgrc.yaml.
endpoint (str) – Url of endpoint to access the MaterialsProject REST interface. Defaults to the standard Materials Project REST address

classmethod
as_ddb
(obj)[source]¶ Return an instance of
abipy.dfpt.ddb.DdbFile
from a generic object obj. Accepts: DdbFile or filepath

property
structure
¶ abipy.core.structure.Structure
object.

property
natom
¶ Number of atoms in structure.

property
version
¶ DDB Version number (integer).

property
header
¶ Dictionary with the values reported in the header section. Use e.g.
ddb.header.ecut
to access its values

computed_dynmat
[source]¶ OrderedDict mapping qpoint object to –> pandas Dataframe. The
pandas.DataFrame
contains the columns: “idir1”, “ipert1”, “idir2”, “ipert2”, “cvalue” and (idir1, ipert1, idir2, ipert2) as index.Note
The indices follow the Abinit (Fortran) notation so they start at 1.

blocks
[source]¶ DDB blocks. List of dictionaries, Each dictionary contains the following keys. “qpt” with the reduced coordinates of the qpoint. “data” that is a list of strings with the entries of the dynamical matrix for this qpoint.

property
qpoints
¶ abipy.core.kpoints.KpointList
object with the list of qpoints in reduced coordinates.

qindex
(qpoint)[source]¶ The index of the qpoint in the internal list of qpoints. Accepts:
abipy.core.kpoints.Kpoint
instance or integer.

guessed_ngqpt
[source]¶ Guess for the qmesh divisions (ngqpt) inferred from the list of qpoints found in the DDB file.
Warning
The mesh may not be correct if the DDB file contains points belonging to different meshes and/or the Qmesh is shifted.

cart_forces
[source]¶ Cartesian forces in eV / Ang None if not available i.e. if the GS DDB has not been merged.

cart_stress_tensor
[source]¶ abipy.tools.tensors.Stress
tensor in cartesian coordinates (GPa units). None if not available.

has_lo_to_data
(select='at_least_one')[source]¶ True if the DDB file contains the data required to compute the LOTO splitting.

has_at_least_one_atomic_perturbation
[source]¶ True if the DDB file contains info on (at least one) atomic perturbation. If the coordinates of a q point are provided only the specified qpt will be considered.

has_epsinf_terms
[source]¶ True if the DDB file contains info on the electricfield perturbation.
 Parameters
select – Possible values in [“at_least_one”, “at_least_one_diagoterm”, “all”] If select == “at_least_one”, we check if there’s at least one entry associated to the electric field and we assume that anaddb will be able to reconstruct the full tensor by symmetry. “at_least_one_diagoterm” is similar but it only checks for the presence of one diagonal term. If select == “all”, all tensor components must be present in the DDB file.

has_emacro_terms
(**kwargs)¶

has_bec_terms
[source]¶ True if the DDB file contains info on the Born effective charges.
 Parameters
select – Possible values in [“at_least_one”, “all”] By default, we check if there’s at least one entry associated to atomic displacement and electric field and we assume that anaddb will be able to reconstruct the full tensor by symmetry. If select == “all”, all bec components must be present in the DDB file.

has_strain_terms
[source]¶ True if the DDB file contains info on the (clampedion) strain perturbation (i.e. 2nd order derivatives wrt strain)
 Parameters
select – Possible values in [“at_least_one”, “all”] If select == “at_least_one”, we check if there’s at least one entry associated to the strain. and we assume that anaddb will be able to reconstruct the full tensor by symmetry. If select == “all”, all tensor components must be present in the DDB file.
Note
As anaddb is not yet able to reconstruct the strain terms by symmetry, the default value for select is “all”

has_internalstrain_terms
[source]¶ True if the DDB file contains internal strain terms i.e “offdiagonal” 2nd order derivatives wrt (strain, atomic displacement)
 Parameters
select – Possible values in [“at_least_one”, “all”] If select == “at_least_one”, we check if there’s at least one entry associated to the strain. and we assume that anaddb will be able to reconstruct the full tensor by symmetry. If select == “all”, all tensor components must be present in the DDB file.
Note
As anaddb is not yet able to reconstruct the strain terms by symmetry, the default value for select is “all”

has_piezoelectric_terms
[source]¶ True if the DDB file contains piezoelectric terms i.e “offdiagonal” 2nd order derivatives wrt (electric_field, strain)
 Parameters
select – Possible values in [“at_least_one”, “all”] If select == “at_least_one”, we check if there’s at least one entry associated to the strain. and we assume that anaddb will be able to reconstruct the full tensor by symmetry. If select == “all”, all tensor components must be present in the DDB file.
Note
As anaddb is not yet able to reconstruct the (strain, electric) terms by symmetry, the default value for select is “all”

view_phononwebsite
(browser=None, verbose=0, dryrun=False, **kwargs)[source]¶ Invoke anaddb to compute phonon bands. Produce JSON file that can be parsed from the phononwebsite and open it in
browser
. Parameters
browser – Open webpage in
browser
. Use default $BROWSER if None.verbose – Verbosity level
dryrun – Activate dryrun mode for unit testing purposes.
kwargs – Passed to
anaget_phbst_and_phdos_files
.
Return: Exit status

yield_figs
(**kwargs)[source]¶ This function generates a predefined list of matplotlib figures with minimal input from the user.

anaget_phmodes_at_qpoint
(qpoint=None, asr=2, chneut=1, dipdip=1, workdir=None, mpi_procs=1, manager=None, verbose=0, lo_to_splitting=False, spell_check=True, directions=None, anaddb_kwargs=None, return_input=False)[source]¶ Execute anaddb to compute phonon modes at the given qpoint (without LOTO splitting)
 Parameters
qpoint – Reduced coordinates of the qpoint where phonon modes are computed.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
workdir – Working directory. If None, a temporary directory is created.
mpi_procs – Number of MPI processes to use.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration fileverbose – verbosity level. Set it to a value > 0 to get more information.
lo_to_splitting – Allowed values are [True, False, “automatic”]. Defaults to False If True the LOTO splitting will be calculated if qpoint == Gamma and the non_anal_directions non_anal_phfreqs attributes will be addeded to the phonon band structure. “automatic” activates LOTO if the DDB file contains the dielectric tensor and Born effective charges.
directions – list of 3D directions along which the LOTO splitting will be calculated. If None the three cartesian direction will be used.
anaddb_kwargs – additional kwargs for anaddb.
return_input – True if
abipy.abio.inputs.AnaddbInput
object should be returned as 2nd argument
Return:
abipy.dfpt.phonons.PhononBands
object.

anaget_phbst_and_phdos_files
(nqsmall=10, qppa=None, ndivsm=20, line_density=None, asr=2, chneut=1, dipdip=1, dos_method='tetra', lo_to_splitting='automatic', ngqpt=None, qptbounds=None, anaddb_kwargs=None, verbose=0, spell_check=True, mpi_procs=1, workdir=None, manager=None, return_input=False)[source]¶ Execute anaddb to compute the phonon band structure and the phonon DOS. Return contex manager that closes the files automatically.
Important
Use:
 with ddb.anaget_phbst_and_phdos_files(…) as g:
phbst_file, phdos_file = g[0], g[0]
to ensure the netcdf files are closed instead of:
phbst_file, phdos_file = ddb.anaget_phbst_and_phdos_files(…)
 Parameters
nqsmall – Defines the homogeneous qmesh used for the DOS. Gives the number of divisions used to sample the smallest lattice vector. If 0, DOS is not computed and (phbst, None) is returned.
qppa – Defines the homogeneous qmesh used for the DOS in units of qpoints per reciproval atom. Overrides nqsmall.
ndivsm – Number of division used for the smallest segment of the qpath.
line_density – Defines the a density of kpoints per reciprocal atom to plot the phonon dispersion. Overrides ndivsm.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
dos_method – Technique for DOS computation in Possible choices: “tetra”, “gaussian” or “gaussian:0.001 eV”. In the later case, the value 0.001 eV is used as gaussian broadening.
lo_to_splitting – Allowed values are [True, False, “automatic”]. Defaults to “automatic” If True the LOTO splitting will be calculated and the non_anal_directions and the non_anal_phfreqs attributes will be addeded to the phonon band structure. “automatic” activates LOTO if the DDB file contains the dielectric tensor and Born effective charges.
ngqpt – Number of divisions for the qmesh in the DDB file. Autodetected if None (default).
qptbounds – Boundaries of the path. If None, the path is generated from an internal database depending on the input structure.
anaddb_kwargs – additional kwargs for anaddb.
verbose – verbosity level. Set it to a value > 0 to get more information.
mpi_procs – Number of MPI processes to use.
workdir – Working directory. If None, a temporary directory is created.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration file.return_input – True if
abipy.abio.inputs.AnaddbInput
object should be attached to the Context manager.
 Returns: Context manager with two files:
abipy.dfpt.phonons.PhbstFile
with the phonon band structure.abipy.dfpt.phonons.PhdosFile
with the the phonon DOS.

get_coarse
(ngqpt_coarse, filepath=None)[source]¶ Get a version of this file on a coarse mesh
 Parameters
ngqpt_coarse – list of ngqpt indexes that must be a submesh of the original ngqpt
filepath – Filename for coarse DDB. If None, temporary filename is used.
Return:
abipy.dfpt.ddb.DdbFile
on coarse mesh.

anacompare_asr
(asr_list=(0, 2), chneut_list=(1, ), dipdip=1, lo_to_splitting='automatic', nqsmall=10, ndivsm=20, dos_method='tetra', ngqpt=None, verbose=0, mpi_procs=1)[source]¶ Invoke anaddb to compute the phonon band structure and the phonon DOS with different values of the
asr
input variable (acoustic sum rule treatment). Build and returnabipy.dfpt.phonons.PhononBandsPlotter
object. Parameters
asr_list – List of
asr
values to test.chneut_list – List of
chneut
values to test (used by anaddb only if dipdip == 1).dipdip – 1 to activate treatment of dipoledipole interaction (requires BECS and dielectric tensor).
lo_to_splitting – Allowed values are [True, False, “automatic”]. Defaults to “automatic” If True the LOTO splitting will be calculated if qpoint == Gamma and the non_anal_directions non_anal_phfreqs attributes will be addeded to the phonon band structure. “automatic” activates LOTO if the DDB file contains the dielectric tensor and Born effective charges.
nqsmall – Defines the qmesh for the phonon DOS in terms of the number of divisions to be used to sample the smallest reciprocal lattice vector. 0 to disable DOS computation.
ndivsm – Number of division used for the smallest segment of the qpath
dos_method – Technique for DOS computation in Possible choices: “tetra”, “gaussian” or “gaussian:0.001 eV”. In the later case, the value 0.001 eV is used as gaussian broadening
ngqpt – Number of divisions for the abinitio qmesh in the DDB file. Autodetected if None (default)
verbose – Verbosity level.
mpi_procs – Number of MPI processes used by anaddb.
 Returns
abipy.dfpt.phonons.PhononBandsPlotter
object.Client code can use
plotter.combiplot()
orplotter.gridplot()
to visualize the results.

anacompare_dipdip
(chneut_list=(1, ), asr=2, lo_to_splitting='automatic', nqsmall=10, ndivsm=20, dos_method='tetra', ngqpt=None, verbose=0, mpi_procs=1)[source]¶ Invoke anaddb to compute the phonon band structure and the phonon DOS with different values of the
asr
input variable (acoustic sum rule treatment). Build and returnabipy.dfpt.phonons.PhononDosPlotter
object. Parameters
chneut_list – List of
chneut
values to test (used for dipdip == 1).lo_to_splitting – Allowed values are [True, False, “automatic”]. Defaults to “automatic” If True the LOTO splitting will be calculated if qpoint == Gamma and the non_anal_directions non_anal_phfreqs attributes will be addeded to the phonon band structure. “automatic” activates LOTO if the DDB file contains the dielectric tensor and Born effective charges.
nqsmall – Defines the qmesh for the phonon DOS in terms of the number of divisions to be used to sample the smallest reciprocal lattice vector. 0 to disable DOS computation.
ndivsm – Number of division used for the smallest segment of the qpath
dos_method – Technique for DOS computation in Possible choices: “tetra”, “gaussian” or “gaussian:0.001 eV”. In the later case, the value 0.001 eV is used as gaussian broadening
ngqpt – Number of divisions for the abinitio qmesh in the DDB file. Autodetected if None (default)
verbose – Verbosity level.
mpi_procs – Number of MPI processes used by anaddb.
 Returns
abipy.dfpt.phonons.PhononDosPlotter
object.Client code can use
plotter.combiplot()
orplotter.gridplot()
to visualize the results.

anacompare_phdos
(nqsmalls, asr=2, chneut=1, dipdip=1, dos_method='tetra', ngqpt=None, verbose=0, num_cpus=1, stream=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF8'>)[source]¶ Invoke Anaddb to compute Phonon DOS with different qmeshes. The abinitio dynamical matrix reported in the DDB file will be Fourierinterpolated on the list of qmeshes specified by
nqsmalls
. Useful to perform convergence studies. Parameters
nqsmalls – List of integers defining the qmesh for the DOS. Each integer gives the number of divisions to be used to sample the smallest reciprocal lattice vector.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
dos_method – Technique for DOS computation in Possible choices: “tetra”, “gaussian” or “gaussian:0.001 eV”. In the later case, the value 0.001 eV is used as gaussian broadening
ngqpt – Number of divisions for the abinitio qmesh in the DDB file. Autodetected if None (default)
verbose – Verbosity level.
num_cpus – Number of CPUs (threads) used to parallellize the calculation of the DOSes. Autodetected if None.
stream – Filelike object used for printing.
 Returns
namedtuple
with the following attributes:phdoses: List of PhononDos objects plotter: PhononDosPlotter object. Client code can use ``plotter.gridplot()`` to visualize the results.

anacompare_rifcsph
(rifcsph_list, asr=2, chneut=1, dipdip=1, lo_to_splitting='automatic', ndivsm=20, ngqpt=None, verbose=0, mpi_procs=1)[source]¶ Invoke anaddb to compute the phonon band structure and the phonon DOS with different values of the
asr
input variable (acoustic sum rule treatment). Build and returnabipy.dfpt.phonons.PhononBandsPlotter
object. Parameters
rifcsph_list – List of rifcsph to analyze.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
dipdip – 1 to activate treatment of dipoledipole interaction (requires BECS and dielectric tensor).
lo_to_splitting – Allowed values are [True, False, “automatic”]. Defaults to “automatic” If True the LOTO splitting will be calculated if qpoint == Gamma and the non_anal_directions non_anal_phfreqs attributes will be addeded to the phonon band structure. “automatic” activates LOTO if the DDB file contains the dielectric tensor and Born effective charges.
ndivsm – Number of division used for the smallest segment of the qpath
ngqpt – Number of divisions for the abinitio qmesh in the DDB file. Autodetected if None (default)
verbose – Verbosity level.
mpi_procs – Number of MPI processes used by anaddb.
 Returns
abipy.dfpt.phonons.PhononBandsPlotter
object.Client code can use
plotter.combiplot()
orplotter.gridplot()
to visualize the results.

anaget_epsinf_and_becs
(chneut=1, mpi_procs=1, workdir=None, manager=None, verbose=0)[source]¶ Call anaddb to compute the macroscopic electronic dielectric tensor (e_inf) and the Born effective charges in Cartesian coordinates.
 Parameters
chneut – Anaddb input variable. See official documentation.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration filempi_procs – Number of MPI processes to use.
verbose – verbosity level. Set it to a value > 0 to get more information
 Return:
namedtuple
with the following attributes:: epsinf:
abipy.tools.tensors.DielectricTensor
object. becs: Becs objects.

anaget_emacro_and_becs
(**kwargs)¶

anaget_ifc
(ifcout=None, asr=2, chneut=1, dipdip=1, ngqpt=None, mpi_procs=1, workdir=None, manager=None, verbose=0, anaddb_kwargs=None)[source]¶ Execute anaddb to compute the interatomic forces.
 Parameters
ifcout – Number of neighbouring atoms for which the ifc’s will be output. If None all the atoms in the big box.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
ngqpt – Number of divisions for the qmesh in the DDB file. Autodetected if None (default)
mpi_procs – Number of MPI processes to use.
workdir – Working directory. If None, a temporary directory is created.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration fileverbose – verbosity level. Set it to a value > 0 to get more information
anaddb_kwargs – additional kwargs for anaddb
 Returns
InteratomicForceConstants
with the calculated ifc.

anaget_dielectric_tensor_generator
(asr=2, chneut=1, dipdip=1, workdir=None, mpi_procs=1, manager=None, verbose=0, anaddb_kwargs=None, return_input=False)[source]¶ Execute anaddb to extract the quantities necessary to create a
abipy.dfpt.ddb.DielectricTensorGenerator
. Requires phonon perturbations at Gamma and static electric field perturbations. Parameters
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
workdir – Working directory. If None, a temporary directory is created.
mpi_procs – Number of MPI processes to use.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration fileverbose – verbosity level. Set it to a value > 0 to get more information
anaddb_kwargs – additional kwargs for anaddb
return_input – True if
abipy.abio.inputs.AnaddbInput
object should be returned as 2nd argument
Return:
abipy.dfpt.ddb.DielectricTensorGenerator
object.

anaget_elastic
(relaxed_ion='automatic', piezo='automatic', dde=False, stress_correction=False, asr=2, chneut=1, mpi_procs=1, workdir=None, manager=None, verbose=0, retpath=False)[source]¶ Call anaddb to compute elastic and piezoelectric tensors. Require DDB with strain terms.
By default, this method sets the anaddb input variables automatically by looking at the 2ndorder derivatives available in the DDB file. This behaviour can be changed by setting explicitly the value of: relaxed_ion and piezo.
 Parameters
relaxed_ion – Activate computation of relaxedion tensors. Allowed values are [True, False, “automatic”]. Defaults to “automatic”. In “automatic” mode, relaxedion tensors are automatically computed if internal strain terms and phonons at Gamma are present in the DDB.
piezo – Activate computation of piezoelectric tensors. Allowed values are [True, False, “automatic”]. Defaults to “automatic”. In “automatic” mode, piezoelectric tensors are automatically computed if piezoelectric terms are present in the DDB. NB: relaxedion piezoelectric requires the activation of relaxed_ion.
dde – if True, dielectric tensors will be calculated.
stress_correction – Calculate the relaxed ion elastic tensors, considering the stress left inside cell. The DDB must contain the stress tensor.
asr – Anaddb input variable. See official documentation.
chneut – Anaddb input variable. See official documentation.
mpi_procs – Number of MPI processes to use.
workdir – Working directory. If None, a temporary directory is created.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration fileverbose – verbosity level. Set it to a value > 0 to get more information
retpath – True to return path to anaddb.nc file.
 Returns
abipy.dfpt.elastic.ElasticData
object ifretpath
is None else absolute path to anaddb.nc file.

anaget_raman
(asr=2, chneut=1, ramansr=1, alphon=1, workdir=None, mpi_procs=1, manager=None, verbose=0, directions=None, anaddb_kwargs=None)[source]¶ Execute anaddb to compute the Raman spectrum
 Parameters
qpoint – Reduced coordinates of the qpoint where phonon modes are computed.
chneut, ramansr, alphon (asr,) – Anaddb input variable. See official documentation.
workdir – Working directory. If None, a temporary directory is created.
mpi_procs – Number of MPI processes to use.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration fileverbose – verbosity level. Set it to a value > 0 to get more information.
directions – list of 3D directions along which the non analytical contribution will be calculated. If None the three cartesian direction will be used.
anaddb_kwargs – additional kwargs for anaddb.
Return: Raman object.

write
(filepath, filter_blocks=None)[source]¶ Writes the DDB file in filepath. Requires the blocks data. Only the information stored in self.header.lines and in self.blocks will be used to produce the file

get_block_for_qpoint
(qpt)[source]¶ Extracts the block data for the selected qpoint. Returns a list of lines containing the block information

replace_block_for_qpoint
(qpt, data)[source]¶ Change the block data for the selected qpoint. Object is modified inplace. Data should be a list of strings representing the whole data block. Note that the DDB file should be written and reopened in order to call methods that run anaddb.
 Returns
True if qpt has been found and data has been replaced.

get_panel
()[source]¶ Build panel with widgets to interact with the
abipy.dfpt.ddb.DdbFile
either in a notebook or in panel app.

class
abipy.dfpt.ddb.
Becs
(becs_arr, structure, chneut, order='c')[source]¶ Bases:
abipy.core.mixins.Has_Structure
,monty.json.MSONable
This object stores the Born effective charges and provides simple tools for data analysis.

property
structure
¶ abipy.core.structure.Structure
object.

property
sumrule
¶ [3, 3] matrix with Born effective charge neutrality sumrule.

get_voigt_dataframe
(view='inequivalent', tol=0.001, select_symbols=None, decimals=5, verbose=0)[source]¶ Return
pandas.DataFrame
with Voigt indices as columns and natom rows. Parameters
view – “inequivalent” to show only inequivalent atoms. “all” for all sites.
tol – Entries are set to zero below this value
select_symbols – String or list of strings with chemical symbols. Used to select only atoms of this type.
decimals – Number of decimal places to round to. If decimals is negative, it specifies the number of positions to the left of the decimal point.
verbose – Verbosity level.

property

class
abipy.dfpt.ddb.
DielectricTensorGenerator
(phfreqs, oscillator_strength, eps0, epsinf, structure)[source]¶ Bases:
abipy.core.mixins.Has_Structure
Object used to generate frequency dependent dielectric tensors as obtained from DFPT calculations. The values are calculated on the fly based on the phonon frequencies at gamma and oscillator strengths. The first three frequencies would be considered as acoustic modes and ignored in the calculation. No checks would be performed.
See the definitions Eq.(5354) in [Gonze1997] PRB55, 10355 (1997).

classmethod
from_files
(phbst_filepath, anaddbnc_filepath)[source]¶ Generates the object from the files that contain the phonon frequencies, oscillator strength and static dielectric tensor, i.e. the PHBST.nc and anaddb.nc netcdf files, respectively.

classmethod
from_objects
(phbands, anaddbnc)[source]¶ Generates the object from the objects
abipy.dfpt.phonons.PhononBands
object and AnaddbNcFile

property
structure
¶ abipy.core.structure.Structure
object.

get_oscillator_dataframe
(reim='all', tol=1e06)[source]¶ Return
pandas.DataFrame
with oscillator matrix elements. Parameters
reim – “re” for real part, “im” for imaginary part, “all” for both.
tol – Entries are set to zero below this value

tensor_at_frequency
(w, gamma_ev=0.0001, units='eV')[source]¶ Returns a
abipy.tools.tensors.DielectricTensor
object representing the dielectric tensor in atomic units at the specified frequency w. Eq.(5354) in PRB55, 10355 (1997). Parameters
w – Frequency in eV
gamma_ev – Phonon damping factor in eV (full width). Poles are shifted by phfreq * gamma_ev. Accept scalar or [nfreq] array.
units – string specifying the units used for phonon frequencies. Possible values in
"meV", "Ha", "cm1", "Thz") Caseinsensitive. (("eV",) –

plot
(w_min=0, w_max=None, gamma_ev=0.0001, num=500, component='diag', reim='reim', units='eV', with_phfreqs=True, ax=None, fontsize=12, **kwargs)[source]¶ Plots the selected components of the dielectric tensor as a function of frequency.
 Parameters
w_min – minimum frequency in units units.
w_max – maximum frequency. If None it will be set to the value of the maximum frequency + 5*gamma_ev.
gamma_ev – Phonon damping factor in eV (full width). Poles are shifted by phfreq * gamma_ev. Accept scalar or [nfreq] array.
num – number of values of the frequencies between w_min and w_max.
component –
determine which components of the tensor will be displayed. Can be a list/tuple of two elements, indicating the indices [i, j] of the desired component or a string among:
’diag_av’ to plot the average of the components on the diagonal
’diag’ to plot the elements on diagonal
’all’ to plot all the components in the upper triangle.
’offdiag’ to plot the offdiagonal components in the upper triangle.
reim – a string with “re” will plot the real part, with “im” selects the imaginary part.
units – string specifying the units used for phonon frequencies. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
with_phfreqs – True to show phonon frequencies with dots.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.fontsize – Legend and label fontsize.
Return:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_vs_w
(w_min=0, w_max=None, gamma_ev=0.0001, num=500, component='diag', reim='reim', units='eV', with_phfreqs=True, ax=None, fontsize=12, **kwargs)¶ Plots the selected components of the dielectric tensor as a function of frequency.
 Parameters
w_min – minimum frequency in units units.
w_max – maximum frequency. If None it will be set to the value of the maximum frequency + 5*gamma_ev.
gamma_ev – Phonon damping factor in eV (full width). Poles are shifted by phfreq * gamma_ev. Accept scalar or [nfreq] array.
num – number of values of the frequencies between w_min and w_max.
component –
determine which components of the tensor will be displayed. Can be a list/tuple of two elements, indicating the indices [i, j] of the desired component or a string among:
’diag_av’ to plot the average of the components on the diagonal
’diag’ to plot the elements on diagonal
’all’ to plot all the components in the upper triangle.
’offdiag’ to plot the offdiagonal components in the upper triangle.
reim – a string with “re” will plot the real part, with “im” selects the imaginary part.
units – string specifying the units used for phonon frequencies. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
with_phfreqs – True to show phonon frequencies with dots.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.fontsize – Legend and label fontsize.
Return:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_all
(**kwargs)[source]¶ Plot diagonal and offdiagonal elements of the dielectric tensor as a function of frequency. Both real and imag part are show. Accepts all arguments of plot method with the exception of: component and reim.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

classmethod

class
abipy.dfpt.ddb.
DdbRobot
(*args)[source]¶ Bases:
abipy.abio.robots.Robot
This robot analyzes the results contained in multiple DDB files.
Inheritance Diagram

EXT
= 'DDB'¶

classmethod
from_mpid_list
(mpid_list, api_key=None, endpoint=None)[source]¶ Build a DdbRobot from list of materialsproject ids.
 Parameters
mpid_list – List of Materials Project material_ids (e.g., [“mp1234”, “mp1245”]).
api_key (str) – A String API key for accessing the MaterialsProject REST interface. If None, the code will check if there is a PMG_MAPI_KEY in your .pmgrc.yaml.
endpoint (str) – Url of endpoint to access the MaterialsProject REST interface. Defaults to the standard Materials Project REST address

get_dataframe_at_qpoint
(qpoint=None, units='eV', asr=2, chneut=1, dipdip=1, with_geo=True, with_spglib=True, abspath=False, funcs=None)[source]¶ Call anaddb to compute the phonon frequencies at a single qpoint using the DDB files treated by the robot and the given anaddb input arguments. LOTO splitting is not included. Build and return a
pandas.DataFrame
with results Parameters
qpoint – Reduced coordinates of the qpoint where phonon modes are computed
units – string specifying the units used for ph frequencies. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
with_geo – True if structure info should be added to the dataframe
with_spglib – True to compute spglib space group and add it to the DataFrame.
abspath – True if paths in index should be absolute. Default: Relative to getcwd().
funcs – Function or list of functions to execute to add more data to the DataFrame. Each function receives a
abipy.dfpt.ddb.DdbFile
object and returns a tuple (key, value) where key is a string with the name of column and value is the value to be inserted.
Return:
pandas.DataFrame

anaget_phonon_plotters
(**kwargs)[source]¶ Invoke anaddb to compute phonon bands and DOS using the arguments passed via **kwargs. Collect results and return namedtuple with the following attributes:
phbands_plotter:
abipy.dfpt.phonons.PhononBandsPlotter
object. phdos_plotter:abipy.dfpt.phonons.PhononDosPlotter
object.

anacompare_elastic
(ddb_header_keys=None, with_structure=True, with_spglib=True, with_path=False, manager=None, verbose=0, **kwargs)[source]¶ Compute elastic and piezoelectric properties for all DDBs in the robot and build DataFrame.
 Parameters
ddb_header_keys – List of keywords in the header of the DDB file whose value will be added to the Dataframe.
with_structure – True to add structure parameters to the DataFrame.
with_spglib – True to compute spglib space group and add it to the DataFrame.
with_path – True to add DDB path to dataframe
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration fileverbose – verbosity level. Set it to a value > 0 to get more information
kwargs – Keyword arguments passed to ddb.anaget_elastic.
Return: DataFrame and list of ElastData objects.

anacompare_becs
(ddb_header_keys=None, chneut=1, tol=0.001, with_path=False, verbose=0)[source]¶ Compute Born effective charges for all DDBs in the robot and build DataFrame. with Voigt indices as columns + metadata. Useful for convergence studies.
 Parameters
ddb_header_keys – List of keywords in the header of the DDB file whose value will be added to the Dataframe.
chneut – Anaddb input variable. See official documentation.
tol – Elements below this value are set to zero.
with_path – True to add DDB path to dataframe
verbose – verbosity level. Set it to a value > 0 to get more information
Return:
namedtuple
with the following attributes:df: DataFrame with Voigt as columns. becs_list: list of Becs objects.

anacompare_epsinf
(ddb_header_keys=None, chneut=1, tol=0.001, with_path=False, verbose=0)[source]¶ Compute (eps^inf) electronic dielectric tensor for all DDBs in the robot and build DataFrame. with Voigt indices as columns + metadata. Useful for convergence studies.
 Parameters
ddb_header_keys – List of keywords in the header of the DDB file whose value will be added to the Dataframe.
chneut – Anaddb input variable. See official documentation.
tol – Elements below this value are set to zero.
with_path – True to add DDB path to dataframe
verbose – verbosity level. Set it to a value > 0 to get more information
Return:
namedtuple
with the following attributes:df: DataFrame with Voigt indices as columns. epsinf_list: List of DielectricTensor objects with eps^{inf}

anacompare_eps0
(ddb_header_keys=None, asr=2, chneut=1, tol=0.001, with_path=False, verbose=0)[source]¶ Compute (eps^0) dielectric tensor for all DDBs in the robot and build DataFrame. with Voigt indices as columns + metadata. Useful for convergence studies.
 Parameters
ddb_header_keys – List of keywords in the header of the DDB file whose value will be added to the Dataframe.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
tol – Elements below this value are set to zero.
with_path – True to add DDB path to dataframe
verbose – verbosity level. Set it to a value > 0 to get more information
Return:
namedtuple
with the following attributes:df: DataFrame with Voigt as columns. eps0_list: List of DielectricTensor objects with eps^0. dgen_list: List of DielectricTensorGenerator.

elastic
Module¶
Objects to analyze elastic and piezoelectric tensors computed by anaddb.

class
abipy.dfpt.elastic.
MyElasticTensor
[source]¶ Bases:
pymatgen.analysis.elasticity.elastic.ElasticTensor

get_voigt_dataframe
(tol=1e05)[source]¶ Return
pandas.DataFrame
with Voigt indices as colums (Cindexing starting from 0). Useful to analyze the converge of individual elements of the tensor(s) Elements below tol are set to zero.


class
abipy.dfpt.elastic.
MyPiezoTensor
[source]¶ Bases:
pymatgen.analysis.piezo.PiezoTensor

get_voigt_dataframe
(tol=1e05)[source]¶ Return
pandas.DataFrame
with Voigt indices as colums (Cindexing starting from 0). Useful to analyze the converge of individual elements of the tensor(s) Elements below tol are set to zero.


class
abipy.dfpt.elastic.
ElasticData
(structure, params, elastic_clamped=None, elastic_relaxed=None, elastic_stress_corr=None, elastic_relaxed_fixed_D=None, piezo_clamped=None, piezo_relaxed=None, d_piezo_relaxed=None, g_piezo_relaxed=None, h_piezo_relaxed=None)[source]¶ Bases:
abipy.core.mixins.Has_Structure
,monty.json.MSONable
Container with the different elastic and piezoelectric tensors computed by anaddb. Data is stored in pymatgen tensor objects.
Provides methods to analyze/tabulate data Se also http://progs.coudert.name/elate/mp?query=mp2172 for a web interface.

ALL_ELASTIC_TENSOR_NAMES
= ('elastic_relaxed', 'elastic_clamped', 'elastic_stress_corr', 'elastic_relaxed_fixed_D')¶

ALL_PIEZOELECTRIC_TENSOR_NAMES
= ('piezo_relaxed', 'piezo_clamped', 'd_piezo_relaxed', 'g_piezo_relaxed', 'h_piezo_relaxed')¶

ALL_TENSOR_NAMES
= ('elastic_relaxed', 'elastic_clamped', 'elastic_stress_corr', 'elastic_relaxed_fixed_D', 'piezo_relaxed', 'piezo_clamped', 'd_piezo_relaxed', 'g_piezo_relaxed', 'h_piezo_relaxed')¶

TYPE2NAMES
= {'all': ('elastic_relaxed', 'elastic_clamped', 'elastic_stress_corr', 'elastic_relaxed_fixed_D', 'piezo_relaxed', 'piezo_clamped', 'd_piezo_relaxed', 'g_piezo_relaxed', 'h_piezo_relaxed'), 'elastic': ('elastic_relaxed', 'elastic_clamped', 'elastic_stress_corr', 'elastic_relaxed_fixed_D'), 'piezoelectric': ('piezo_relaxed', 'piezo_clamped', 'd_piezo_relaxed', 'g_piezo_relaxed', 'h_piezo_relaxed')}¶

TENSOR_META
= {'d_piezo_relaxed': {'info': 'relaxedion piezoelectric d tensor in Voigt notation (shape: (3, 6))', 'latex': '${d}$', 'units': 'pc/m^2'}, 'elastic_clamped': {'info': 'clampedion elastic tensor in Voigt notation (shape: (6, 6))', 'latex': '${\\xoverline(C)}$', 'units': 'GPa'}, 'elastic_relaxed': {'info': 'relaxedion elastic tensor in Voigt notation (shape: (6, 6))', 'latex': '${C}$', 'units': 'GPa'}, 'elastic_relaxed_fixed_D': {'info': 'relaxedion elastic tensor at fixed displacement field in Voigt notation (shape: (6, 6))', 'latex': '$C^{(D)}$', 'units': 'GPa'}, 'elastic_stress_corr': {'info': 'relaxedion elastic tensor considering the stress left inside cell in Voigt notation (shape: (6, 6))', 'latex': '${C^{\\sigma}}$', 'units': 'GPa'}, 'g_piezo_relaxed': {'info': 'relaxedion piezoelectric g tensor in Voigt notation (shape: (3, 6))', 'latex': '${g}$', 'units': 'm^2/c'}, 'h_piezo_relaxed': {'info': 'relaxedion piezoelectric h tensor in Voigt notation (shape: (3, 6))', 'latex': '${h}$', 'units': 'GN/c'}, 'piezo_clamped': {'info': 'clampedion piezoelectric tensor in Voigt notation (shape: (3, 6))', 'latex': '${\\xoverline(e)}$', 'units': 'c/m^2'}, 'piezo_relaxed': {'info': 'relaxedion piezoelectric tensor in Voigt notation (shape: (3, 6))', 'latex': '${e}$', 'units': 'c/m^2'}}¶

property
structure
¶ abipy.core.structure.Structure
object.

get_tensor
(tensor_name, tol=None)[source]¶ Return tensor from its name tensor_name. Set to zero all entries below tol if tol is not None.

name_tensor_list
(tensor_names=None, tensor_type='all', tol=None)[source]¶ List of (name, tensor) tuples. Only tensors stored in the object are returned.
 Parameters
tensor_names – List of tensor names to select. None means all.
tensor_type – Select tensors by type. Must be in [“all”, “elastic”, “piezoelectric”].
tol – Set to zero all all entries below this threshold

fit_to_structure
(structure=None, symprec=0.1)[source]¶ Return new ElasticData object with tensors that are invariant with respect to symmetry operations corresponding to structure.
 Parameters
structure –
abipy.core.structure.Structure
from which to generate symmetry operations If None, the internal structure is used.symprec (float) – symmetry tolerance for the Spacegroup Analyzer used to generate the symmetry operations

convert_to_ieee
(structure=None, initial_fit=True, refine_rotation=True)[source]¶ Return new set of tensors in IEEE format according to the 1987 IEEE standards.
 Parameters
structure – A
abipy.core.structure.Structure
structure associated with the tensor to be converted to the IEEE standard If None, the internal structure is usedinitial_fit (bool) – flag to indicate whether initial tensor is fit to the symmetry of the structure. Defaults to true. Note that if false, inconsistent results may be obtained due to symmetrically equivalent, but distinct transformations being used in different versions of spglib.
refine_rotation (bool) – whether to refine the rotation produced by the ieee transform generator, default True

get_elastic_tensor_dataframe
(tensor_name='elastic_relaxed', tol=0.001)[source]¶  Parameters
tensor_name –
tol – set to zero all entries below this threshold.

get_piezoelectric_tensor_dataframe
(tensor_name='piezo_relaxed', tol=1e05)[source]¶  Parameters
tensor_name –
tol – set to zero all entries below this threshold.

get_voigt_dataframe
(tensor_names, voigt_as_index=True, tol=None)[source]¶ Return
pandas.DataFrame
with Voigt indices as colums (Cindexing starting from 0). Useful to analyze the converge of individual elements of the tensor(s) Parameters
tensor_names – List of tensor names.
tol – Set to zero all all entries below a certain threshold

get_elastic_properties_dataframe
(tensor_names='all', properties_as_index=False, include_base_props=True, ignore_errors=False, fit_to_structure=False, symprec=0.1)[source]¶ Return a
pandas.DataFrame
with properties derived from the elastic tensor and the associated structure Parameters
["elastic_relaxed", "elastic_clamped", "elastic_stress_corr", "elastic_relaxed_fixed_D"] (tensor_names=) –
properties_as_index –
include_base_props (bool) – whether to include base properties, like k_vrh, etc.
ignore_errors (bool) – if set to true, will set problem properties that depend on a physical tensor to None, defaults to False
fit_to_structure (bool) – If True, properties are computed with the orginal tensors and symmetrized tensors. An additional column fit_to_structure is added to the dataframe.
symprec (float) – symmetry tolerance for the Spacegroup Analyzer used to generate the symmetry operations if fit_to_structure

frozen_phonons
Module¶
Objects to run and analyze the frozen phonons generated from displacements of atoms

abipy.dfpt.frozen_phonons.
quadratic_fit_function
(xx, aa, bb)[source]¶ Simple quadratic function used as a default for the fitting.
 Parameters
xx – the variable
aa – the coefficient of the quadratic term
bb – the constant term

class
abipy.dfpt.frozen_phonons.
FrozenPhonon
(original_structure, original_displ_cart, structures, normalized_displ_cart, etas, qpt_frac_coords, scale_matrix, energies=None)[source]¶ Bases:
object
Class defining a set of structures with displaced atoms. Provides methods to generate, interpolate and plot the data.

property
energies
¶ Energies in eV corresponding to the the structures.

property
qpt_cart_coords
¶ The cartesian coordinates of the qpoint.

property
n_displ
¶ Number of displacements.

classmethod
from_phbands
(phbands, qpt_frac_coords, imode, etas, scale_matrix=None, max_supercell=None)[source]¶ Create an instace of FrozenPhonon using the eigendisplacements from a
abipy.dfpt.phonons.PhononBands
 Parameters
phbands – a
abipy.dfpt.phonons.PhononBands
instance.qpt_frac_coords – q vector in reduced coordinate in reciprocal space or index of the qpoint.
imode – index of the mode.
etas – list of amplitudes of the displacement to be applied to the system. Will correspond to the largest displacement of one atom in Angstrom.
scale_matrix – the scaling matrix of the supercell. If None a scaling matrix suitable for the qpoint will be determined.
max_supercell – mandatory if scale_matrix is None, ignored otherwise. Defines the largest supercell in the search for a scaling matrix suitable for the q point.
 Returns
A FrozenPhonon.

fit_to_frequency
(fit_function=None, units='eV', min_fit_eta=None, max_fit_eta=None)[source]¶ Uses the energies and the displacements to calculate the phonon frequency corresponding to the quadratic term of the fit. The fit is performed with scipy.optimize.curve_fit based on the function given in input and can also be limited number to a subset of the values of the displacements.
 Parameters
fit_function – a function that will be used to fit the data. The first parameter should be the coefficient of the quadratic term. If None a simple quadratic fit will be used.
units – units of the output frequency. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
min_fit_eta – if not None represents minimum value allowed for the (signed) eta to be used in the fit.
max_fit_eta – if not None represents maximum value allowed for the (signed) eta to be used in the fit.
 Returns
the values of the frequency extracted from the fit, ‘fit_params’: the parameters obtained from the fit, ‘cov’: the estimated covariance of fit_params (see scipy.optimize.curve_fit documentation for more details).
 Return type
A namedtuple with ‘freq’

plot_fit_energies
(fit_function=None, min_fit_eta=None, max_fit_eta=None, freq=None, ax=None, **kwargs)[source]¶ Fits the displacements etas to the energies. See fit_to_frequency() for more details.
 Parameters
fit_function – a function that will be used to fit the data. The first parameter should be the coefficient of the quadratic term. If None a simple quadratic fit will be used.
min_fit_eta – if not None represents minimum value allowed for the (signed) eta to be used in the fit.
max_fit_eta – if not None represents maximum value allowed for the (signed) eta to be used in the fit.
freq – if not None the quadratic function with this frequency as a coefficient will be added to the plot. freq in eV. Requires the 0 displacement to be present in the list of etas.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.
 Returns
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_anharmonic_contribution
(freq, relative=False, ax=None, **kwargs)[source]¶ Plots the the absolute relative difference between the energies extracted from the frequency as quadratic coefficient and the calculated energies, giving an estimate of the anharmonic contribution Requires the 0 displacement to be present in the list of etas.
 Parameters
freq – phonon frequncy in eV
relative – if True the plot will represent the relative difference with respect to the expected value obtained from the frequency, rather than the absolute difference.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.
 Returns
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

property
gruneisen
Module¶
Objects to analyze the results stored in the GRUNS.nc file produced by anaddb.

class
abipy.dfpt.gruneisen.
GrunsNcFile
(filepath)[source]¶ Bases:
abipy.core.mixins.AbinitNcFile
,abipy.core.mixins.Has_Structure
,abipy.core.mixins.NotebookWriter
This object provides an interface to the
GRUNS.nc
file produced by abinit. This file contains Grunesein parameters computed via finite difference.Usage example:
with GrunsNcFile("foo_GRUNS.nc") as ncfile: print(ncfile)
Inheritance Diagram

property
structure
¶ abipy.core.structure.Structure
corresponding to the central point V0.

property
iv0
¶

phbands_qpath_vol
[source]¶ List of
abipy.dfpt.phonons.PhononBands
objects corresponding to the different volumes.

property
nvols
¶ Number of volumes

to_dataframe
()[source]¶ Return a
pandas.DataFrame
with the following columns:[‘qidx’, ‘mode’, ‘freq’, ‘qpoint’]
where:
Column
Meaning
qidx
qpoint index.
mode
phonon branch index.
grun
Gruneisen parameter.
groupv
Group velocity.
freq
Phonon frequency in eV.

plot_doses
(xlims=None, dos_names='all', with_idos=True, **kwargs)[source]¶ Plot the different DOSes stored in the GRUNS.nc file.
 Parameters
xlims – Set the data limits for the xaxis in eV. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are useddos_names – List of strings defining the DOSes to plot. Use “all” to plot all DOSes available.
with_idos – True to display integrated doses.
Return:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

get_plotter
()[source]¶ Return an instance of
abipy.dfpt.phonons.PhononBandsPlotter
that can be use to plot multiple phonon bands or animate the bands

plot_phbands_with_gruns
(fill_with='gruns', gamma_fact=1, alpha=0.6, with_doses='all', units='eV', ylims=None, match_bands=False, qlabels=None, branch_range=None, **kwargs)[source]¶ Plot the phonon bands corresponding to
V0
(the central point) with markers showing the value and the sign of the Grunesein parameters. Parameters
fill_with – Define the quantity used to plot stripes. “gruns” for Grunesein parameters, “gruns_fd” for Grunesein parameters calculated with finite differences, “groupv” for phonon group velocities.
gamma_fact – Scaling factor for Grunesein parameters. Up triangle for positive values, down triangles for negative values.
alpha – The alpha blending value for the markers between 0 (transparent) and 1 (opaque).
with_doses – “all” to plot all DOSes available,
None
to disable DOS plotting, else list of strings with the name of the DOSes to plot.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
ylims – Set the data limits for the yaxis in eV. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are usedmatch_bands – if True tries to follow the band along the path based on the scalar product of the eigenvectors.
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels. e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.branch_range – Tuple specifying the minimum and maximum branch index to plot (default: all branches are plotted).
Returns:
matplotlib.figure.Figure
.Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_gruns_scatter
(values='gruns', ax=None, units='eV', cmap='rainbow', **kwargs)[source]¶ A scatter plot of the values of the Gruneisen parameters or group velocities as a function of the phonon frequencies.
 Parameters
values – Define the plotted quantity. “gruns” for Grunesein parameters, “gruns_fd” for Grunesein parameters calculated with finite differences, “groupv” for phonon group velocities.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon frequencies. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
cmap – matplotlib colormap. If not None, points are colored according to the branch index.
**kwargs – kwargs passed to the matplotlib function ‘scatter’. Size defaults to 10.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

split_dwdq
[source]¶ Splits the values of the group velocities along a path like for the phonon bands

plot_gruns_bs
(values='gruns', ax=None, branch_range=None, qlabels=None, match_bands=False, **kwargs)[source]¶ A plot of the values of the Gruneisen parameters or group velocities along the high symmetry path. By default only the calculated points will be displayed. If lines are required set a positive value for lw and match_bands=True to obtained reasonable paths.
 Parameters
values – Define the plotted quantity. “gruns” for Grunesein parameters, “gruns_fd” for Grunesein parameters calculated with finite differences, “groupv” for phonon group velocities.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.branch_range – Tuple specifying the minimum and maximum branch index to plot (default: all branches are plotted).
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels. e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.match_bands – if True the bands will be matched based on the scalar product between the eigenvectors.
**kwargs – kwargs passed to the matplotlib function ‘plot’. Marker size defaults to 4, line width to 0, marker to ‘o’, color to black.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

yield_figs
(**kwargs)[source]¶ This function generates a predefined list of matplotlib figures with minimal input from the user. Used in abiview.py to get a quick look at the results.

write_notebook
(nbpath=None)[source]¶ Write a jupyter notebook to nbpath. If nbpath is None, a temporay file in the current working directory is created. Return path to the notebook.

property
phdos
¶ The
abipy.dfpt.phonons.PhononDos
corresponding to iv0, if present in the file, None otherwise.

average_gruneisen
(t=None, squared=True, limit_frequencies=None)[source]¶ Calculates the average of the Gruneisen based on the values on the regular grid. If squared is True the average will use the squared value of the Gruneisen and a squared root is performed on the final result. Values associated to negative frequencies will be ignored. See Scripta Materialia 129, 88 for definitions.
 Parameters
t – the temperature at which the average Gruneisen will be evaluated. If None the acoustic Debye temperature is used (see acoustic_debye_temp).
squared – if True the average is performed on the squared values of the Gruenisen.
limit_frequencies – if None (default) no limit on the frequencies will be applied. Possible values are “debye” (only modes with frequencies lower than the acoustic Debye temperature) and “acoustic” (only the acoustic modes, i.e. the first three modes).
 Returns
The average Gruneisen parameter

thermal_conductivity_slack
(squared=True, limit_frequencies=None, theta_d=None, t=None)[source]¶ Calculates the thermal conductivity at the acoustic Debye temperature wit the Slack formula, using the average Gruneisen.
 Parameters
squared – if True the average is performed on the squared values of the Gruenisen
limit_frequencies – if None (default) no limit on the frequencies will be applied. Possible values are “debye” (only modes with frequencies lower than the acoustic Debye temperature) and “acoustic” (only the acoustic modes, i.e. the first three modes).
theta_d – the temperature used to estimate the average of the Gruneisen used in the Slack formula. If None the the acoustic Debye temperature is used (see acoustic_debye_temp). Will also be considered as the Debye temperature in the Slack formula.
t – temperature at which the thermal conductivity is estimated. If None the value at the calculated acoustic Debye temperature is given. The value is obtained as a simple rescaling of the value at the Debye temperature.
Returns: The value of the thermal conductivity in W/(m*K)

property
debye_temp
¶ Debye temperature in K obtained from the phonon DOS

property
acoustic_debye_temp
¶ Acoustic Debye temperature in K, i.e. the Debye temperature divided by nsites**(1/3). Obtained from the phonon DOS

classmethod
from_ddb_list
(ddb_list, nqsmall=10, qppa=None, ndivsm=20, line_density=None, asr=2, chneut=1, dipdip=1, dos_method='tetra', lo_to_splitting='automatic', ngqpt=None, qptbounds=None, anaddb_kwargs=None, verbose=0, mpi_procs=1, workdir=None, manager=None)[source]¶ Execute anaddb to compute generate the object from a list of ddbs.
 Parameters
ddb_list – A list with the paths to the ddb_files at different volumes. There should be an odd number of DDB files and the volume increment must be constant. The DDB files will be ordered according to the volume of the unit cell and the middle one will be considered as the DDB at the relaxed volume.
nqsmall – Defines the homogeneous qmesh used for the DOS. Gives the number of divisions used to sample the smallest lattice vector. If 0, DOS is not computed and (phbst, None) is returned.
qppa – Defines the homogeneous qmesh used for the DOS in units of qpoints per reciprocal atom. Overrides nqsmall.
ndivsm – Number of division used for the smallest segment of the qpath.
line_density – Defines the a density of kpoints per reciprocal atom to plot the phonon dispersion. Overrides ndivsm.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
dos_method – Technique for DOS computation in Possible choices: “tetra”, “gaussian” or “gaussian:0.001 eV”. In the later case, the value 0.001 eV is used as gaussian broadening.
lo_to_splitting – Allowed values are [True, False, “automatic”]. Defaults to “automatic” If True the LOTO splitting will be calculated and the non_anal_directions and the non_anal_phfreqs attributes will be addeded to the phonon band structure. “automatic” activates LOTO if the DDB file contains the dielectric tensor and Born effective charges.
ngqpt – Number of divisions for the qmesh in the DDB file. Autodetected if None (default).
qptbounds – Boundaries of the path. If None, the path is generated from an internal database depending on the input structure.
anaddb_kwargs – additional kwargs for anaddb.
verbose – verbosity level. Set it to a value > 0 to get more information.
mpi_procs – Number of MPI processes to use.
workdir – Working directory. If None, a temporary directory is created.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration file.
Returns: A GrunsNcFile object.

grun_vals_finite_differences
[source]¶ Gruneisen parameters along the high symmetry path calculated with finite differences.

property

class
abipy.dfpt.gruneisen.
GrunsReader
(filepath)[source]¶ Bases:
abipy.iotools.ETSF_Reader
This object reads the results stored in the GRUNS.nc file produced by ABINIT. It provides helper functions to access the most important quantities.
Inheritance Diagram

read_doses
()[source]¶ Return a
monty.collections.AttrDict
with the DOSes available in the file. Empty dict if DOSes are not available.

read_phbands_on_qpath
()[source]¶ Return a list of
abipy.dfpt.phonons.PhononBands
computed at the different volumes. Theiv0
entry corresponds to the central point used to compute Grunesein parameters with finite differences. This object stores the Grunesein parameters ingrun_vals
.


abipy.dfpt.gruneisen.
calculate_gruns_finite_differences
(phfreqs, eig, iv0, volume, dv)[source]¶ Calculates the Gruneisen parameters from finite differences on the phonon frequencies. Uses the eigenvectors to match the frequencies at different volumes.
 Parameters
phfreqs – numpy array with the phonon frequencies at different volumes. Shape (nvols, nqpts, 3*natoms)
eig – numpy array with the phonon eigenvectors at the different volumes. Shape (nvols, nqpts, 3*natoms, 3*natoms) If None simple ordering will be used.
iv0 – index of the 0 volume.
volume – volume of the structure at the central volume.
dv – volume variation.
 Returns
A numpy array with the gruneisen parameters. Shape (nqpts, 3*natoms)

abipy.dfpt.gruneisen.
thermal_conductivity_slack
(average_mass, volume, mean_g, theta_d, t=None)[source]¶ Generic function for the calculation of the thermal conductivity at the acoustic Debye temperature with the Slack formula, based on the quantities that can be calculated. Can be used to calculate the thermal conductivity with different definitions of the Gruneisen parameters or of the Debye temperature.
 Parameters
average_mass – average mass in atomic units of the atoms of the system.
volume – volume of the unit cell.
mean_g – the mean of the Gruneisen parameters.
theta_d – the Debye temperature in the Slack formula.
t – temperature at which the thermal conductivity is estimated. If None theta_d is used. The value is obtained as a simple rescaling of the value at the Debye temperature.
 Returns
The value of the thermal conductivity in W/(m*K)
ifc
Module¶
The interatomic force constants calculated by anaddb.

class
abipy.dfpt.ifc.
InteratomicForceConstants
(structure, atoms_indices, neighbours_indices, ifc_cart_coord, ifc_cart_coord_short_range, local_vectors, distances)[source]¶ Bases:
abipy.core.mixins.Has_Structure
The interatomic force constants calculated by anaddb. Read from anaddb.nc

property
number_of_atoms
¶ Number of atoms is structure.

property
structure
¶ abipy.core.structure.Structure
object.

property
number_of_neighbours
¶ Number of neighbouring atoms for which the ifc are present. ifcout in anaddb.

get_ifc_cartesian
(atom_indices=None, atom_element=None, neighbour_element=None, min_dist=None, max_dist=None)[source]¶ Filters the IFCs in cartesian coordinates All the arguments are optional. If None the filter will not be applied. Returns two arrays containing the distances and the corresponding filtered ifcs.
 Parameters
atom_indices – a list of atom indices in the structure. Only neighbours of these atoms will be considered.
atom_element – symbol of an element in the structure. Only neighbours of these atoms will be considered.
neighbour_element – symbol of an element in the structure. Only neighbours of this specie will be considered.
min_dist – minimum distance between atoms and neighbours.
max_dist – maximum distance between atoms and neighbours.

get_ifc_local
(atom_indices=None, atom_element=None, neighbour_element=None, min_dist=None, max_dist=None)[source]¶ Filters the IFCs in local coordinates All the arguments are optional. If None the filter will not be applied. Returns two arrays containing the distances and the corresponding filtered ifcs.
 Parameters
atom_indices – a list of atom indices in the structure. Only neighbours of these atoms will be considered.
atom_element – symbol of an element in the structure. Only neighbours of these atoms will be considered.
neighbour_element – symbol of an element in the structure. Only neighbours of this specie will be considered.
min_dist – minimum distance between atoms and neighbours.
max_dist – maximum distance between atoms and neighbours.

get_plot_ifc
(ifc, atom_indices=None, atom_element=None, neighbour_element=None, min_dist=None, max_dist=None, ax=None, **kwargs)[source]¶ Plots the specified ifcs, filtered according to the optional arguments. An array with shape number_of_atoms*number_of_neighbours, so only one of the components of the ifc matrix can be plotted at a time.
 Parameters
ifc – an array with shape number_of_atoms * number_of_neighbours of the ifc that should be plotted
atom_indices – a list of atom indices in the structure. Only neighbours of these atoms will be considered.
atom_element – symbol of an element in the structure. Only neighbours of these atoms will be considered.
neighbour_element – symbol of an element in the structure. Only neighbours of this specie will be considered.
min_dist – minimum distance between atoms and neighbours.
max_dist – maximum distance between atoms and neighbours.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.kwargs – kwargs passed to the matplotlib function ‘plot’. Color defaults to blue, symbol to ‘o’ and lw to 0
Returns:
matplotlib.figure.Figure

plot_longitudinal_ifc
(atom_indices=None, atom_element=None, neighbour_element=None, min_dist=None, max_dist=None, ax=None, **kwargs)[source]¶ Plots the total longitudinal ifcs in local coordinates, filtered according to the optional arguments.
 Parameters
atom_indices – a list of atom indices in the structure. Only neighbours of these atoms will be considered.
atom_element – symbol of an element in the structure. Only neighbours of these atoms will be considered.
neighbour_element – symbol of an element in the structure. Only neighbours of this specie will be considered.
min_dist – minimum distance between atoms and neighbours.
max_dist – maximum distance between atoms and neighbours.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.kwargs – kwargs passed to the matplotlib function ‘plot’. Color defaults to blue, symbol to ‘o’ and lw to 0
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_longitudinal_ifc_short_range
(atom_indices=None, atom_element=None, neighbour_element=None, min_dist=None, max_dist=None, ax=None, **kwargs)[source]¶ Plots the short range longitudinal ifcs in local coordinates, filtered according to the optional arguments.
 Parameters
atom_indices – a list of atom indices in the structure. Only neighbours of these atoms will be considered.
atom_element – symbol of an element in the structure. Only neighbours of these atoms will be considered.
neighbour_element – symbol of an element in the structure. Only neighbours of this specie will be considered.
min_dist – minimum distance between atoms and neighbours.
max_dist – maximum distance between atoms and neighbours.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.kwargs – kwargs passed to the matplotlib function ‘plot’. Color defaults to blue, symbol to ‘o’ and lw to 0
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_longitudinal_ifc_ewald
(atom_indices=None, atom_element=None, neighbour_element=None, min_dist=None, max_dist=None, ax=None, **kwargs)[source]¶ Plots the Ewald part of the ifcs in local coordinates, filtered according to the optional arguments.
 Parameters
atom_indices – a list of atom indices in the structure. Only neighbours of these atoms will be considered.
atom_element – symbol of an element in the structure. Only neighbours of these atoms will be considered.
neighbour_element – symbol of an element in the structure. Only neighbours of this specie will be considered.
min_dist – minimum distance between atoms and neighbours.
max_dist – maximum distance between atoms and neighbours.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.kwargs – kwargs passed to the matplotlib function ‘plot’. Color defaults to blue, symbol to ‘o’ and lw to 0
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

property
msqdos
Module¶
Objects related to the computation of DebyeWaller tensors from the generalized phonon DOS.

class
abipy.dfpt.msqdos.
MsqDos
(structure, wmesh, values, amu_symbol)[source]¶ Bases:
abipy.core.mixins.Has_Structure
This object stores the generalized phonon DOS in CARTESIAN coords. This DOSlike quantity allows one to calculate Debye Waller factors as a function of Temperature by integration with 1/omega and the BoseEinstein factor. This object is usually instanciated via the read_msq_dos method of the PhdosReader and stored as attribute of the PhdosFile instance.
See [Lee1995] for the further details about the internal implementation and [Trueblood1996] for the different conventions used by crystallographers.
See also http://atztogo.github.io/phonopy/formulation.html#thermaldisplacement

ALL_COMPS
= {'trace': <abipy.dfpt.msqdos._Component object>, 'xx': <abipy.dfpt.msqdos._Component object>, 'xy': <abipy.dfpt.msqdos._Component object>, 'xz': <abipy.dfpt.msqdos._Component object>, 'yy': <abipy.dfpt.msqdos._Component object>, 'yz': <abipy.dfpt.msqdos._Component object>, 'zz': <abipy.dfpt.msqdos._Component object>}¶

property
structure
¶ abipy.core.structure.Structure
object.

to_string
(verbose=0)[source]¶ Humanreadable string with useful information on the object.
 Parameters
verbose – Verbosity level.

get_json_doc
(tstart=0, tstop=600, num=11)[source]¶ Return dictionary with results. Used by emmet builder.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate.

get_msq_tmesh
(tmesh, iatom_list=None, what_list=('displ', 'vel'))[source]¶ Compute mean square displacement for each atom in iatom_list as a function of T. in Cartesian coordinates and atomicunits.
 Parameters
tmesh – arraylike with temperatures in Kelvin.
iatom_list – List of atom sites to compute. None if all aomts are wanted.
what_list – “displ” for displacement, “vel” for velocity tensor.
 Returns
namedtuple with (tmesh=tmesh, displ=msq_d, vel=msq_v)
msq_d = np.empty((natom, 3, 3, nt))

convert_ucart
(ucart_mat, fmt)[source]¶ Convert the U tensor from Cartesian coordinates to format fmt Return new tensor. See also [GrosseKunstleve2002].
 Parameters
ucart_mat – (natom,3,3) array with tensor in Cartesian coords.
fmt – Output format. Available options: “cif”, “ustar”, “beta”, “cartesian”
Return: (natom, 3, 3) tensor.

get_dataframe
(temp=300, fmt='cartesian', view='inequivalent', what='displ', decimals=4, select_symbols=None, verbose=0)[source]¶ Return
pandas.DataFrame
with cartesian tensor components as columns and (inequivalent) sites along the rows. Parameters
temp – Temperature in Kelvin.
fmt – “cartesian” for elements in Cartesian coordinates, “cif” for results in reduced coordinates
view – “inequivalent” to show only inequivalent atoms. “all” for all sites.
what – “displ” for displament, “vel” for velocity.
decimals – Number of decimal places to round to. If decimals is negative, it specifies the number of positions to the left of the decimal point.
select_symbols – String or list of strings with chemical symbols. Used to select only atoms of this type.
verbose – Verbosity level.
Return:
pandas.DataFrame

write_cif_file
(filepath, temp=300, symprec=None)[source]¶ Write CIF file with structure and anisotropic U tensor in CIF format.
 Parameters
filepath – Name of CIF file. If None, a temporary filepath is created.
temp – Temperature in Kelvin (used to compute U).
symprec (float) – If not none, finds the symmetry of the structure and writes the cif with symmetry information. Passes symprec to the SpacegroupAnalyzer
Return: Filepath

vesta_open
(temp=300)[source]¶ Visualize termal displacement ellipsoids at temperature temp (Kelvin) with Vesta application.

get_cif_string
(temp=300, symprec=None)[source]¶ Return string with structure and anisotropic U tensor in CIF format at temperature temp in Kelvin
 Parameters
symprec (float) – If not none, finds the symmetry of the structure and writes the cif with symmetry information. Passes symprec to the SpacegroupAnalyzer

check_site_symmetries
(temp=300, verbose=0)[source]¶ Check site symmetries of the displacement tensor at temperature temp in Kelvin. Return maximum error.

plot
(components='upper', view='inequivalent', units='eV', select_symbols=None, xlims=None, ylims=None, sharey=False, fontsize=8, verbose=0, **kwargs)[source]¶ Plot the generalized phonon DOS g_ij(omega, atom) for each atom in the unit cell. One subplot per atom. Each subplot shows the 9 independent components of the symmetric tensor. as a function of frequency. By default, only “inequivalent” atoms are shown.
 Parameters
view – “inequivalent” to show only inequivalent atoms. “all” for all sites.
components – List of cartesian tensor components to plot e.g. [“xx”, “xy”]. “all” for all components. “upper” for the upper triangle, “diag” for diagonal elements.
units – Units energy axis. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
select_symbols – String or list of strings with chemical symbols. Used to select only atoms of this type.
xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are used.ylims – Set the data limits for the yaxis.
sharey – True if yaxis should be shared.
fontsize – Legend and title fontsize.
verbose – Verbosity level.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_tensor
(tstart=0, tstop=600, num=50, components='all', what='displ', view='inequivalent', select_symbols=None, colormap='jet', xlims=None, ylims=None, fontsize=10, verbose=0, **kwargs)[source]¶ Plot tensor(T) for each atom in the unit cell. One subplot for each component, each subplot show all inequivalent sites. By default, only “inequivalent” atoms are shown.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate.
components – “all” for all components. “diag” for diagonal elements, “offdiag” for offdiagonal terms only.
what – “displ” for displament, “vel” for velocity.
view – “inequivalent” to show only inequivalent atoms. “all” for all sites.
select_symbols – String or list of strings with chemical symbols. Used to select only atoms of this type.
colormap – matplotlib colormap.
xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are used.ylims – Set the data limits for the yaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are usedfontsize – Legend and title fontsize.
verbose – Verbosity level.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_uiso
(tstart=0, tstop=600, num=50, what='displ', view='inequivalent', select_symbols=None, colormap='jet', xlims=None, ylims=None, sharey=False, fontsize=10, verbose=0, **kwargs)[source]¶ Plot phonon PJDOS for each atom in the unit cell. One subplot for each component, each subplot show all inequivalent sites. By default, only “inequivalent” atoms are shown.
comparison of Ueq values, which are calculated as the mean of the diagonal elements of the harmonic ADP tensor, (d) comparison of the ADP anisotropy factor, which is defined as the ratio between maximum Uii and minimum Uii values. A ratio of 1 would correspond to an isotropic displacement.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate.
components – “all” for all components. “diag” for diagonal elements, “offdiag” for offdiagonal terms only.
what – “displ” for displament, “vel” for velocity.
view – “inequivalent” to show only inequivalent atoms. “all” for all sites.
select_symbols – String or list of strings with chemical symbols. Used to select only atoms of this type.
colormap – matplotlib colormap.
xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are used.ylims – Set the data limits for the yaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are usedsharey – True if yaxis should be shared.
fontsize – Legend and title fontsize.
verbose – Verbosity level.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

phonons
Module¶

class
abipy.dfpt.phonons.
PhononBands
(structure, qpoints, phfreqs, phdispl_cart, non_anal_ph=None, amu=None, epsinf=None, zcart=None, linewidths=None)[source]¶ Bases:
object
Container object storing the phonon band structure.
Note
Frequencies are in eV. Cartesian displacements are in Angstrom.

classmethod
as_phbands
(obj)[source]¶ Return an instance of
abipy.dfpt.phonons.PhononBands
from a generic objectobj
. Supports:instances of cls
files (string) that can be open with
abiopen
and that provide aphbands
attribute.objects providing a
phbands
attribute.

read_non_anal_from_file
(filepath)[source]¶ Reads the non analytical directions, frequencies and displacements from the anaddb.nc file specified and adds them to the object.

property
nqpt
¶ An alias for num_qpoints.

to_string
(title=None, with_structure=True, with_qpoints=False, verbose=0)[source]¶ Humanreadable string with useful information such as structure, qpoints, …
 Parameters
with_structure – False if structural info should not be displayed.
with_qpoints – False if qpoint info shoud not be displayed.
verbose – Verbosity level.

property
displ_shape
¶ The shape of phdispl_cart.

property
minfreq
¶ Minimum phonon frequency.

property
maxfreq
¶ Maximum phonon frequency in eV.

property
shape
¶ Shape of the array with the eigenvalues.

property
linewidths
¶ linewidths in eV.
numpy.ndarray
with shape [nqpt, num_branches].

property
has_linewidths
¶ True if bands with linewidths.

dyn_mat_eigenvect
[source]¶ [nqpt, 3*natom, 3*natom] array with the orthonormal eigenvectors of the dynamical matrix. in Cartesian coordinates.

property
non_anal_directions
¶ Cartesian directions along which the non analytical frequencies and displacements are available

property
non_anal_phfreqs
¶ Phonon frequencies with non analytical contribution in eV along non_anal_directions

property
non_anal_phdispl_cart
¶ Displacement in Cartesian coordinates with non analytical contribution along non_anal_directions

property
non_anal_dyn_mat_eigenvect
¶ Eigenvalues of the dynamical matrix with non analytical contribution along non_anal_directions.

to_xmgrace
(filepath, units='meV')[source]¶ Write xmgrace file with phonon band structure energies and labels for highsymmetry qpoints.
 Parameters
filepath – String with filename or stream.
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.

qindex_qpoint
(qpoint, is_non_analytical_direction=False)[source]¶ Returns (qindex, qpoint) from an integer or a qpoint.
 Parameters
qpoint – integer, vector of reduced coordinates or
abipy.core.kpoints.Kpoint
object.is_non_analytical_direction – True if qpoint should be interpreted as a fractional direction for q –> 0 In this case qindex refers to the index of the direction in the
NonAnalyticalPh
object.

get_unstable_modes
(below_mev=5.0)[source]¶ Return a list of
PhononMode
objects with the unstable modes. A mode is unstable if its frequency is < below_mev. Output list is sorted and modes with lowest frequency come first.

get_dict4pandas
(with_spglib=True)[source]¶ Return a
OrderedDict
with the most important parameters:Chemical formula and number of atoms.
Lattice lengths, angles and volume.
The spacegroup number computed by Abinit (set to None if not available).
The spacegroup number and symbol computed by spglib (set to None not with_spglib).
Useful to construct pandas DataFrames
 Parameters
with_spglib – If True, spglib is invoked to get the spacegroup symbol and number

get_phdos
(method='gaussian', step=0.0001, width=0.0004)[source]¶ Compute the phonon DOS on a linear mesh.
 Parameters
method – String defining the method
step – Energy step (eV) of the linear mesh.
width – Standard deviation (eV) of the gaussian.
 Returns
abipy.dfpt.phonons.PhononDos
object.
Warning
Requires a homogeneous sampling of the Brillouin zone.

create_xyz_vib
(iqpt, filename, pre_factor=200, do_real=True, scale_matrix=None, max_supercell=None)[source]¶ Create vibration XYZ file for visualization of phonons.
 Parameters
iqpt – index of qpoint.
filename – name of the XYZ file that will be created.
pre_factor – Multiplication factor of the displacements.
do_real – True if we want only real part of the displacement, False means imaginary part.
scale_matrix – Scaling matrix of the supercell.
max_supercell – Maximum size of the supercell with respect to primitive cell.

create_ascii_vib
(iqpts, filename, pre_factor=1)[source]¶ Create vibration ascii file for visualization of phonons. This format can be read with v_sim or asciiphonons.
 Parameters
iqpts – an index or a list of indices of the qpoints in self. Note that at present only V_sim supports an ascii file with multiple qpoints.
filename – name of the ascii file that will be created.
pre_factor – Multiplication factor of the displacements.

view_phononwebsite
(browser=None, verbose=0, dryrun=False, **kwargs)[source]¶ Produce JSON file that can be parsed from the phononwebsite and open it in
browser
. Parameters
browser – Open webpage in
browser
. Use default $BROWSER if None.verbose – Verbosity level
dryrun – Activate dryrun mode for unit testing purposes.
kwargs – Passed to create_phononwebsite_json method
Return: Exit status

create_phononwebsite_json
(filename, name=None, repetitions=None, highsym_qpts=None, match_bands=True, highsym_qpts_mode='std', indent=2)[source]¶ Writes a JSON file that can be parsed from the phononwebsite.
 Parameters
filename – name of the json file that will be created
name – name associated with the data.
repetitions – number of repetitions of the cell. List of three integers. Defaults to [3,3,3].
highsym_qpts – list of tuples. The first element of each tuple should be a list with the coordinates of a high symmetry point, the second element of the tuple should be its label.
match_bands – if True tries to follow the band along the path based on the scalar product of the eigenvectors.
highsym_qpts_mode – if
highsym_qpts
is None, high symmetry qpoints can be automatically determined. Accepts the following values: ‘split’ will split the path based on points where the path changes direction in the Brillouin zone. Similar to what is done in phononwebsite. Only Gamma will be labeled. ‘std’ uses the standard generation procedure for points and labels used in PhononBands. None does not set any point.indent – Indentation level, passed to json.dump

decorate_ax
(ax, units='eV', **kwargs)[source]¶ Add qlabels, title and unit name to axis ax. Use units = “” to add klabels without adding unit name.
 Parameters
title –
fontsize –
qlabels –
qlabel_size –

plot
(ax=None, units='eV', qlabels=None, branch_range=None, match_bands=False, temp=None, fontsize=12, **kwargs)[source]¶ Plot the phonon band structure.
 Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels. e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.branch_range – Tuple specifying the minimum and maximum branch index to plot (default: all branches are plotted).
match_bands – if True the bands will be matched based on the scalar product between the eigenvectors.
temp – Temperature in Kelvin. If not None, a scatter plot with the BoseEinstein occupation factor at temperature temp is added.
fontsize – Legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_ax
(ax, branch, units='eV', match_bands=False, **kwargs)[source]¶ Plots the frequencies for the given branches indices as a function of the qindex on axis
ax
. Ifbranch
is None, all phonon branches are plotted.Return: The list of matplotlib lines added.

plot_colored_matched
(ax=None, units='eV', qlabels=None, branch_range=None, colormap='rainbow', max_colors=None, **kwargs)[source]¶ Plot the phonon band structure with different color for each line.
 Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels. e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.branch_range – Tuple specifying the minimum and maximum branch_i index to plot (default: all branches are plotted).
colormap – matplotlib colormap to determine the colors available. The colors will be chosen not in a sequential order to avoid difficulties in distinguishing the lines. http://matplotlib.sourceforge.net/examples/pylab_examples/show_colormaps.html
max_colors – maximum number of colors to be used. If max_colors < num_braches the colors will be reapeated. It useful to better distinguish close bands when the number of branch is large.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_lt_character
(units='eV', qlabels=None, ax=None, xlims=None, ylims=None, colormap='jet', fontsize=12, **kwargs)[source]¶ Plot the phonon band structure with colored lines. The color of the lines indicates the degree to which the mode is longitudinal: Red corresponds to longitudinal modes and black to purely transverse modes.
 Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels. e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are used.ylims – yaxis limits.
colormap – Matplotlib colormap.
fontsize – legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

property
split_qpoints
¶

property
split_phfreqs
¶

property
split_phdispl_cart
¶

property
split_matched_indices
¶ A list of numpy arrays containing the indices in which each band should be sorted in order to match the scalar product of the eigenvectors. The shape is the same as that of split_phfreqs. Lazy property.

plot_fatbands
(use_eigvec=True, units='eV', colormap='jet', phdos_file=None, alpha=0.6, max_stripe_width_mev=5.0, width_ratios=(2, 1), qlabels=None, ylims=None, fontsize=12, **kwargs)[source]¶ Plot phonon fatbands and, optionally, atomprojected phonon DOSes. The width of the band is given by v_{type} where v is the (complex) phonon displacement (eigenvector) in cartesian coordinates and v_{type} selects only the terms associated to the atomic type.
 Parameters
use_eigvec – True if the width of the phonon branch should be computed from the eigenvectors. False to use phonon displacements. Note that the PHDOS is always decomposed in terms of (orthonormal) eigenvectors.
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
colormap – Have a look at the colormaps here and decide which one you like: http://matplotlib.sourceforge.net/examples/pylab_examples/show_colormaps.html
phdos_file – Used to activate fatbands + PJDOS plot. Accept string with path of PHDOS.nc file or
abipy.dfpt.phonons.PhdosFile
object.alpha – The alpha blending value, between 0 (transparent) and 1 (opaque)
max_stripe_width_mev – The maximum width of the stripe in meV. Will be rescaled according to
units
.width_ratios – Ratio between the width of the fatbands plots and the DOS plots. Used if phdos_file is not None
ylims – Set the data limits for the yaxis. Accept tuple e.g. (left, right) or scalar e.g. left. If left (right) is None, default values are used
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels. e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.fontsize – Legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_with_phdos
(phdos, units='eV', qlabels=None, ax_list=None, width_ratios=(2, 1), **kwargs)[source]¶ Plot the phonon band structure with the phonon DOS.
 Parameters
phdos – An instance of
abipy.dfpt.phonons.PhononDos
or a netcdf file providing a PhononDos object.units – Units for plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.ax_list – The axes for the bandstructure plot and the DOS plot. If ax_list is None, a new figure is created and the two axes are automatically generated.
width_ratios – Ratio between the width of the bands plots and the DOS plots. Used if
ax_list
is None
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_phdispl
(qpoint, cart_dir=None, use_reduced_coords=False, ax=None, units='eV', is_non_analytical_direction=False, use_eigvec=False, colormap='viridis', hatches='default', atoms_index=None, labels_groups=None, normalize=True, use_sqrt=False, fontsize=12, branches=None, format_w='%.3f', **kwargs)[source]¶ Plot vertical bars with the contribution of the different atoms or atomic types to all the phonon modes at a given
qpoint
. The contribution is given by v_{type} where v is the (complex) phonon displacement (eigenvector) in cartesian coordinates and v_{type} selects only the terms associated to the atomic type. Options allow to specify which atoms should be taken into account and how should be reparted. Parameters
qpoint – integer, vector of reduced coordinates or
abipy.core.kpoints.Kpoint
object.cart_dir – “x”, “y”, or “z” to select a particular Cartesian directions. or combinations separated by “+”. Example: “x+y”. None if no projection is wanted.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon frequencies. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
is_non_analytical_direction – If True, the
qpoint
is interpreted as a direction in qspace and the phonon (displacements/eigenvectors) for q –> 0 along this direction are used. Requires band structure withNonAnalyticalPh
object.use_eigvec – True if eigenvectors should be used instead of displacements (eigenvectors are orthonormal, unlike diplacements)
colormap – Matplotlib colormap used for atom type.
hatches – List of strings with matplotlib hatching patterns. None or empty list to disable hatching.
fontsize – Legend and title fontsize.
normalize – if True divides by the square norm of the total eigenvector
use_sqrt – if True the square root of the sum of the components will be taken
use_reduced_coords – if True coordinates will be converted to reduced coordinates. So the values will be fraction of a,b,c rather than x,y,z.
atoms_index – list of lists. Each list contains the indices of atoms in the structure that will be summed on a separate group. if None all the atoms will be considered and grouped by type.
labels_groups – If atoms_index is not None will provide the labels for each of the group in atoms_index. Should have the same length of atoms_index or be None. If None automatic labelling will be used.
branches – list of indices for the modes that should be represented. If None all the modes will be shown.
format_w – string used to format the values of the frequency. Default “%.3f”.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_phdispl_cartdirs
(qpoint, cart_dirs=('x', 'y', 'z'), units='eV', is_non_analytical_direction=False, use_eigvec=False, colormap='viridis', hatches='default', atoms_index=None, labels_groups=None, normalize=True, use_sqrt=False, fontsize=8, branches=None, format_w='%.3f', **kwargs)[source]¶ Plot three panels. Each panel shows vertical bars with the contribution of the different atomic types to all the phonon displacements at the given
qpoint
along on the Cartesian directions incart_dirs
. Parameters
qpoint – integer, vector of reduced coordinates or
abipy.core.kpoints.Kpoint
object.cart_dirs – List of strings defining the Cartesian directions. “x”, “y”, or “z” to select a particular Cartesian directions. or combinations separated by “+”. Example: “x+y”.
units – Units for phonon frequencies. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
is_non_analytical_direction – If True, the
qpoint
is interpreted as a direction in qspace and the phonon (displacements/eigenvectors) for q –> 0 along this direction are used. Requires band structure withNonAnalyticalPh
object.use_eigvec – True if eigenvectors should be used instead of displacements (eigenvectors are orthonormal, unlike diplacements)
colormap – Matplotlib colormap used for atom type.
hatches – List of strings with matplotlib hatching patterns. None or empty list to disable hatching.
fontsize – Legend and title fontsize.
normalize – if True divides by the square norm of the total eigenvector
use_sqrt – if True the square root of the sum of the components will be taken fraction of a,b,c rather than x,y,z.
atoms_index – list of lists. Each list contains the indices of atoms in the structure that will be summed on a separate group. if None all the atoms will be considered and grouped by type.
labels_groups – If atoms_index is not None will provide the labels for each of the group in atoms_index. Should have the same length of atoms_index or be None. If None automatic labelling will be used.
branches – list of indices for the modes that should be represented. If None all the modes will be shown.
format_w – string used to format the values of the frequency. Default “%.3f”.
See plot_phdispl for the meaning of the other arguments.
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

get_dataframe
()[source]¶ Return a
pandas.DataFrame
with the following columns:[‘qidx’, ‘mode’, ‘freq’, ‘qpoint’]
where:
Column
Meaning
qidx
qpoint index.
mode
phonon branch index.
freq
Phonon frequency in eV.
qpoint
abipy.core.kpoints.Kpoint
object

boxplot
(ax=None, units='eV', mode_range=None, swarm=False, **kwargs)[source]¶ Use seaborn to draw a box plot to show distributions of eigenvalues with respect to the mode index.
 Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
mode_range – Only modes such as mode_range[0] <= mode_index < mode_range[1] are included in the plot.
swarm – True to show the datapoints on top of the boxes
kwargs – Keyword arguments passed to seaborn boxplot.
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

to_pymatgen
(qlabels=None)[source]¶ Creates a pymatgen
PhononBandStructureSymmLine
object. Parameters
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels e.g.
qlabels = {(0.0,0.0,0.0):"$\Gamma$", (0.5,0,0):"L"}
. If None labels will be determined automatically.

acoustic_indices
(qpoint, threshold=0.95, raise_on_no_indices=True)[source]¶ Extract the indices of the three acoustic modes for a qpoint. Acoustic modes could be reasonably identified for Gamma and points close to Gamma.
 Parameters
qpoint – the qpoint. Accepts integer or reduced coordinates
threshold – fractional value allowed for the matching of the displacements to identify acoustic modes.
raise_on_no_indices – if True a RuntimeError will be raised if the acoustic mode will not be correctly identified

asr_breaking
(units='eV', threshold=0.95, raise_on_no_indices=True)[source]¶ Calculates the breaking of the acoustic sum rule. Requires the presence of Gamma.
 Parameters
units – Units for the output. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
threshold – fractional value allowed for the matching of the displacements to identify acoustic modes.
raise_on_no_indices – if True a RuntimeError will be raised if the acoustic mode will not be correctly identified
 Returns
the three breaking of the acoustic modes the maximum breaking with sign the absolute value of the maximum breaking
 Return type
A namedtuple with

get_frozen_phonons
(qpoint, nmode, eta=1, scale_matrix=None, max_supercell=None)[source]¶ Creates a supercell with displaced atoms for the specified qpoint and mode.
 Parameters
qpoint – q vector in reduced coordinate in reciprocal space or index of the qpoint.
nmode – number of the mode.
eta – prefactor multiplying the displacement. Gives the value in Angstrom of the largest displacement.
scale_matrix – the scaling matrix of the supercell. If None a scaling matrix suitable for the qpoint will be determined.
max_supercell – mandatory if scale_matrix is None, ignored otherwise. Defines the largest supercell in the search for a scaling matrix suitable for the q point.
 Returns
A namedtuple with a Structure with the displaced atoms, a numpy array containing the displacements applied to each atom and the scale matrix used to generate the supercell.

get_longitudinal_fraction
(qpoint, idir=None)[source]¶ Calculates “longitudinal” fraction of the eigendisplacements.
 Parameters
qpoint – q vector in reduced coordinate in reciprocal space or index of the qpoint.
idir – an integer with the index of the non analytical direction if qpoint is gamma. If None all will be given.
 Returns
A numpy array with the longitudinal fractions for each mode of the specified q point. If qpoint is gamma and idir is None it will be a numpy array with all the non analytical directions.

plot_longitudinal_fraction
(qpoint, idir=None, ax_list=None, units='eV', branches=None, format_w='%.3f', fontsize=10, **kwargs)[source]¶ Plots an instogram “longitudinal” fraction of the eigendisplacements.
 Parameters
qpoint – q vector in reduced coordinate in reciprocal space or index of the qpoint.
idir – an integer with the index of the non analytical direction if qpoint is gamma. If None all will be plot.
ax_list – The axes for the plot. If ax_list is None, a new figure is created and the axes are automatically generated.
units – Units for the output. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
branches – list of indices for the modes that should be represented. If None all the modes will be shown.
format_w – string used to format the values of the frequency. Default “%.3f”.
fontsize – Labels and title fontsize.
 Returns
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_longitudinal_fatbands
(ax=None, units='eV', qlabels=None, branch_range=None, match_bands=False, sum_degenerate=False, factor=1, **kwargs)[source]¶ Plot the phonon band structure with width representing the longitudinal fraction of the fatbands.
 Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
qlabels – dictionary whose keys are tuples with the reduced coordinates of the qpoints. The values are the labels. e.g.
qlabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.branch_range – Tuple specifying the minimum and maximum branch index to plot (default: all branches are plotted).
match_bands – if True the bands will be matched based on the scalar product between the eigenvectors.
sum_degenerate – if True modes with similar frequencies will be considered as degenerated and their contributions will be summed (squared sum). Notice that this may end up summing contributions from modes that are just accidentally degenerated.
factor – a float that will used to scale the width of the fatbands.
 Returns
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

classmethod

class
abipy.dfpt.phonons.
PhbstFile
(filepath)[source]¶ Bases:
abipy.core.mixins.AbinitNcFile
,abipy.core.mixins.Has_Structure
,abipy.core.mixins.Has_PhononBands
,abipy.core.mixins.NotebookWriter
Object used to access data stored in the PHBST.nc file produced by ABINIT.
Inheritance Diagram

property
structure
¶

property
qpoints
¶ List of qpoint objects.

property
phbands
¶

qindex
(qpoint)[source]¶ Returns the index of the qpoint in the PhbstFile. Accepts integer, vector with reduced coordinates or
abipy.core.kpoints.Kpoint
.

qindex_qpoint
(qpoint, is_non_analytical_direction=False)[source]¶ Returns (qindex, qpoint). Accepts integer, vector with reduced coordinates or
abipy.core.kpoints.Kpoint
.

get_phframe
(qpoint, with_structure=True)[source]¶ Return a
pandas.DataFrame
with the phonon frequencies at the given qpoint and information on the crystal structure (used for convergence studies). Parameters
qpoint – integer, vector of reduced coordinates or
abipy.core.kpoints.Kpoint
object.with_structure – True to add structural parameters.

get_phmode
(qpoint, branch)[source]¶ Returns the
PhononMode
with the given qpoint and branch nu. Parameters
qpoint – Either a vector with the reduced components of the qpoint or an integer giving the sequential index (Cconvention).
branch – branch index (Cconvention)
 Returns
PhononMode
instance.

property

class
abipy.dfpt.phonons.
PhononDos
(mesh, values)[source]¶ Bases:
abipy.core.func1d.Function1D
This object stores the phonon density of states. An instance of
PhononDos
has amesh
(numpy array with the points of the mesh) and another numpy array,values
, with the DOS on the mesh.Note
mesh is given in eV, values are in states/eV.

classmethod
as_phdos
(obj, phdos_kwargs=None)[source]¶ Return an instance of
abipy.dfpt.phonons.PhononDos
from a generic obj. Supports: instances of cls  files (string) that can be open with abiopen and that provide one of the following attributes: [`phdos`, `phbands`]  instances of PhononBands.  objects providing a ``phbands`` attribute.
 Parameters
phdos_kwargs – optional dictionary with the options passed to
get_phdos
to compute the phonon DOS.when obj is not already an instance of cls or when we have to compute the DOS from obj. (Used) –

plot_dos_idos
(ax, what='d', exchange_xy=False, units='eV', **kwargs)[source]¶ Helper function to plot DOS/IDOS on the axis
ax
. Parameters
ax –
matplotlib.axes.Axes
what – string selecting the quantity to plot: “d” for DOS, “i” for IDOS. chars can be concatenated hence what=”id” plots both IDOS and DOS. (default “d”).
exchange_xy – True to exchange axis
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
kwargs – Options passed to matplotlib plot method.
 Returns
list of lines added to the plot.

plot
(units='eV', **kwargs)[source]¶ Plot Phonon DOS and IDOS on two distict plots.
 Parameters
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
kwargs – Keyword arguments passed to
matplotlib
.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

get_internal_energy
(tstart=5, tstop=300, num=50)[source]¶ Returns the internal energy, in eV, in the harmonic approximation for different temperatures Zero point energy is included.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num (int) – optional Number of samples to generate. Default is 50.
Return:
abipy.core.func1d.Function1D
object with U(T) + ZPE.

get_entropy
(tstart=5, tstop=300, num=50)[source]¶ Returns the entropy, in eV/K, in the harmonic approximation for different temperatures
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num (int) – optional Number of samples to generate. Default is 50.
Return:
abipy.core.func1d.Function1D
object with S(T).

get_free_energy
(tstart=5, tstop=300, num=50)[source]¶ Returns the free energy, in eV, in the harmonic approximation for different temperatures Zero point energy is included.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num (int) – optional Number of samples to generate. Default is 50.
Return:
abipy.core.func1d.Function1D
object with F(T) = U(T) + ZPE  T x S(T)

get_cv
(tstart=5, tstop=300, num=50)[source]¶ Returns the constantvolume specific heat, in eV/K, in the harmonic approximation for different temperatures
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num (int) – optional Number of samples to generate. Default is 50.
Return:
abipy.core.func1d.Function1D
object with C_v(T).

plot_harmonic_thermo
(tstart=5, tstop=300, num=50, units='eV', formula_units=None, quantities=None, fontsize=8, **kwargs)[source]¶ Plot thermodynamic properties from the phonon DOSes within the harmonic approximation.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 50.
quantities – List of strings specifying the thermodynamic quantities to plot. Possible values: [“internal_energy”, “free_energy”, “entropy”, “c_v”]. None means all.
units – eV for energies in ev/unit_cell, Jmol for results in J/mole.
formula_units – the number of formula units per unit cell. If unspecified, the thermodynamic quantities will be given on a perunitcell basis.
fontsize – Legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

property
debye_temp
¶ Debye temperature in K.

classmethod

class
abipy.dfpt.phonons.
PhdosReader
(path)[source]¶ Bases:
abipy.iotools.ETSF_Reader
This object reads data from the PHDOS.nc file produced by anaddb.
Note
Frequencies are in eV, DOSes are in states/eV.

structure
[source]¶ abipy.core.structure.Structure
object.

read_pjdos_atdir
()[source]¶ Return [natom, three, nomega] array with Phonon DOS projected over atoms and cartesian directions.

read_phdos
()[source]¶ Return
abipy.dfpt.phonons.PhononDos
object with the total phonon DOS

read_pjdos_symbol_xyz_dict
()[source]¶ Return
OrderedDict
mapping element symbol –> [3, nomega] array with the the phonon DOSes summed over atomtypes and decomposed along the three cartesian directions.

read_pjdos_symbol_dict
()[source]¶ Ordered dictionary mapping element symbol –>
abipy.dfpt.phonons.PhononDos
where PhononDos is the contribution to the total DOS summed over atoms with chemical symbolsymbol
.

read_msq_dos
()[source]¶ Read generalized DOS with MSQ displacement tensor in cartesian coords.
Return:
abipy.dfpt.msqdos.MsqDos
object.


class
abipy.dfpt.phonons.
PhdosFile
(filepath)[source]¶ Bases:
abipy.core.mixins.AbinitNcFile
,abipy.core.mixins.Has_Structure
,abipy.core.mixins.NotebookWriter
Container object storing the different DOSes stored in the PHDOS.nc file produced by anaddb. Provides helper function to visualize/extract data.
Inheritance Diagram

params
[source]¶ OrderedDict
with the convergence parameters Used to constructpandas.DataFrame
.

to_string
(verbose=0)[source]¶ Humanreadable string with useful information such as structure…
 Parameters
verbose – Verbosity level.

structure
[source]¶ abipy.core.structure.Structure
object.

phdos
[source]¶ abipy.dfpt.phonons.PhononDos
object.

pjdos_symbol
[source]¶ Ordered dictionary mapping element symbol –> PhononDos where PhononDos is the contribution to the total DOS summed over atoms with chemical symbol symbol.

msqd_dos
[source]¶ abipy.dfpt.msqdos.MsqDos
object with Mean square displacement tensor in cartesian coords. Allows one to calculate Debye Waller factors by integration with 1/omega and the BoseEinstein factor.

plot_pjdos_type
(units='eV', stacked=True, colormap='jet', alpha=0.7, exchange_xy=False, ax=None, xlims=None, ylims=None, fontsize=12, **kwargs)[source]¶ Plot typeprojected phonon DOS.
 Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.stacked – True if DOS partial contributions should be stacked on top of each other.
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
colormap – Have a look at the colormaps here and decide which one you’d like:
alpha – The alpha blending value, between 0 (transparent) and 1 (opaque).
exchange_xy – True to exchange xy axis.
xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are used.ylims – yaxis limits.
fontsize – legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_pjdos_cartdirs_type
(units='eV', stacked=True, colormap='jet', alpha=0.7, xlims=None, ylims=None, ax_list=None, fontsize=8, **kwargs)[source]¶ Plot typeprojected phonon DOS decomposed along the three cartesian directions. Three rows for each cartesian direction. Each row shows the contribution of each atomic type + Total Phonon DOS.
 Parameters
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
stacked – True if DOS partial contributions should be stacked on top of each other.
colormap –
Have a look at the colormaps here and decide which one you’d like:
alpha – The alpha blending value, between 0 (transparent) and 1 (opaque)
xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are usedylims – yaxis limits.
ax_list – List of
matplotlib.axes.Axes
or None if a new figure should be created.fontsize – Legend and label fontsize.
Returns:
matplotlib.figure.Figure
.Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_pjdos_cartdirs_site
(view='inequivalent', units='eV', stacked=True, colormap='jet', alpha=0.7, xlims=None, ylims=None, ax_list=None, fontsize=8, verbose=0, **kwargs)[source]¶ Plot phonon PJDOS for each atom in the unit cell. By default, only “inequivalent” atoms are shown.
 Parameters
view – “inequivalent” to show only inequivalent atoms. “all” for all sites.
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
stacked – True if DOS partial contributions should be stacked on top of each other.
colormap – matplotlib colormap.
alpha – The alpha blending value, between 0 (transparent) and 1 (opaque)
xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are used.ylims – Set the data limits for the yaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are usedax_list – List of
matplotlib.axes.Axes
or None if a new figure should be created.fontsize – Legend and title fontsize.
verbose – Verbosity level.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

yield_figs
(**kwargs)[source]¶ This function generates a predefined list of matplotlib figures with minimal input from the user. Used in abiview.py to get a quick look at the results.


class
abipy.dfpt.phonons.
PhononBandsPlotter
(key_phbands=None, key_phdos=None, phdos_kwargs=None)[source]¶ Bases:
abipy.core.mixins.NotebookWriter
Class for plotting phonon band structure and DOSes. Supports plots on the same graph or separated plots.
Usage example:
plotter = PhononBandsPlotter() plotter.add_phbands("foo bands", "foo_PHBST.nc") plotter.add_phbands("bar bands", "bar_PHBST.nc") plotter.gridplot()

get_phbands_frame
(with_spglib=True)[source]¶ Build a
pandas.DataFrame
with the most important results available in the band structures.

property
phbands_dict
¶ Dictionary with the mapping label –> phbands.

property
bands_dict
¶ Dictionary with the mapping label –> phbands.

property
phdoses_dict
¶ Dictionary with the mapping label –> phdos.

property
phbands_list
¶ “List of
abipy.dfpt.phonons.PhononBands
objects.

property
phdoses_list
¶ “List of
abipy.dfpt.phonons.PhononDos
.

add_phbands
(label, bands, phdos=None, dos=None, phdos_kwargs=None)[source]¶ Adds a band structure for plotting.
 Parameters
label – label for the bands. Must be unique.
bands –
abipy.dfpt.phonons.PhononBands
object.phdos –
abipy.dfpt.phonons.PhononDos
object.phdos_kwargs – optional dictionary with the options passed to
get_phdos
to compute the phonon DOS. Used only ifphdos
is not None.

combiplot
(qlabels=None, units='eV', ylims=None, width_ratios=(2, 1), fontsize=8, linestyle_dict=None, **kwargs)[source]¶ Plot the band structure and the DOS on the same figure. Use
gridplot
to plot band structures on different figures. Parameters
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
qlabels – dictionary whose keys are tuples with the reduced coordinates of the kpoints. The values are the labels e.g.
klabels = {(0.0,0.0,0.0): "$\Gamma$", (0.5,0,0): "L"}
.ylims – Set the data limits for the yaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are usedwidth_ratios – Ratio between the width of the phonon bands plots and the DOS plots. Used if plotter has DOSes.
fontsize – fontsize for titles and legend.
linestyle_dict – Dictionary mapping labels to matplotlib linestyle options.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

yield_figs
(**kwargs)[source]¶ This function generates a predefined list of matplotlib figures with minimal input from the user.

gridplot
(with_dos=True, units='eV', fontsize=8, **kwargs)[source]¶ Plot multiple phonon bandstructures and optionally DOSes on a grid.
 Parameters
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
with_dos – True to plot phonon DOS (if available).
fontsize – legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

gridplot_with_hue
(hue, with_dos=False, units='eV', width_ratios=(2, 1), ylims=None, fontsize=8, **kwargs)[source]¶ Plot multiple phonon bandstructures and optionally DOSes on a grid. Group results by
hue
.Example
plotter.gridplot_with_hue(“tsmear”)
 Parameters
hue – Variable that define subsets of the phonon bands, which will be drawn on separate plots. Accepts callable or string If string, it’s assumed that the phbands has an attribute with the same name and getattr is invoked. Dot notation is also supported e.g. hue=”structure.formula” –> abifile.structure.formula If callable, the output of hue(phbands) is used.
with_dos – True to plot phonon DOS (if available).
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
width_ratios – Ratio between the width of the fatbands plots and the DOS plots. Used if plotter has PH DOSes is not None
ylims – Set the data limits for the yaxis. Accept tuple e.g. (left, right) or scalar e.g. left. If left (right) is None, default values are used
fontsize – legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

boxplot
(mode_range=None, units='eV', swarm=False, **kwargs)[source]¶ Use seaborn to draw a box plot to show distributions of eigenvalues with respect to the band index. Band structures are drawn on different subplots.
 Parameters
mode_range – Only bands such as
mode_range[0] <= nu_index < mode_range[1]
are included in the plot.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
swarm – True to show the datapoints on top of the boxes
kwargs – Keywork arguments passed to seaborn boxplot.
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

combiboxplot
(mode_range=None, units='eV', swarm=False, ax=None, **kwargs)[source]¶ Use seaborn to draw a box plot comparing the distributions of the frequencies. Phonon Band structures are drawn on the same plot.
 Parameters
mode_range – Only bands such as
mode_range[0] <= nu_index < mode_range[1]
are included in the plot.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
swarm – True to show the datapoints on top of the boxes
ax –
matplotlib.axes.Axes
or None if a new figure should be created.kwargs – Keyword arguments passed to seaborn boxplot.
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_phdispl
(qpoint, **kwargs)[source]¶ Plot vertical bars with the contribution of the different atomic types to the phonon displacements at a given qpoint. One panel for all
abipy.dfpt.phonons.PhononBands
stored in the plotter. Parameters
qpoint – integer, vector of reduced coordinates or
abipy.core.kpoints.Kpoint
object.kwargs – keyword arguments passed to phbands.plot_phdispl
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

animate
(interval=500, savefile=None, units='eV', width_ratios=(2, 1), show=True)[source]¶ Use matplotlib to animate a list of band structure plots (with or without DOS).
 Parameters
interval – draws a new frame every interval milliseconds.
savefile – Use e.g. ‘myanimation.mp4’ to save the animation in mp4 format.
units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
width_ratios – Ratio between the band structure plot and the dos plot. Used when there are DOS stored in the plotter.
show – True if the animation should be shown immediately.
Returns: Animation object.
See also
http://matplotlib.org/api/animation_api.html http://jakevdp.github.io/blog/2012/08/18/matplotlibanimationtutorial/
Note
It would be nice to animate the title of the plot, unfortunately this feature is not available in the present version of matplotlib. See: http://stackoverflow.com/questions/17558096/animatedtitleinmatplotlib

get_panel
()[source]¶ Return tabs with widgets to interact with the
abipy.dfpt.phonons.PhononBandsPlotter
file.


class
abipy.dfpt.phonons.
PhononDosPlotter
(key_phdos=None, phdos_kwargs=None)[source]¶ Bases:
abipy.core.mixins.NotebookWriter
Class for plotting multiple phonon DOSes.
Usage example:
plotter = PhononDosPlotter() plotter.add_phdos("foo dos", "foo.nc") plotter.add_phdos("bar dos", "bar.nc") plotter.gridplot()

property
phdos_list
¶ List of phonon DOSes

add_phdos
(label, phdos, phdos_kwargs=None)[source]¶ Adds a DOS for plotting.
 Parameters
label – label for the phonon DOS. Must be unique.
phdos –
abipy.dfpt.phonons.PhononDos
object.phdos_kwargs – optional dictionary with the options passed to get_phdos to compute the phonon DOS. Used when phdos is not already an instance of cls or when we have to compute the DOS from obj.

combiplot
(ax=None, units='eV', xlims=None, ylims=None, fontsize=8, **kwargs)[source]¶ Plot DOSes on the same figure. Use
gridplot
to plot DOSes on different figures. Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
xlims – Set the data limits for the xaxis. Accept tuple e.g. (left, right) or scalar e.g. left. If left (right) is None, default values are used
ylims – yaxis limits.
fontsize – Legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

gridplot
(units='eV', xlims=None, ylims=None, fontsize=8, **kwargs)[source]¶ Plot multiple DOSes on a grid.
 Parameters
units – eV for energies in ev/unit_cell, Jmol for results in J/mole.
xlims – Set the data limits for the xaxis. Accept tuple e.g.
(left, right)
or scalar e.g.left
. If left (right) is None, default values are usedfontsize – Legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_harmonic_thermo
(tstart=5, tstop=300, num=50, units='eV', formula_units=1, quantities='all', fontsize=8, **kwargs)[source]¶ Plot thermodynamic properties from the phonon DOS within the harmonic approximation.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 50.
units – eV for energies in ev/unit_cell, Jmol for results in J/mole.
formula_units – the number of formula units per unit cell. If unspecified, the thermodynamic quantities will be given on a perunitcell basis.
quantities – List of strings specifying the thermodynamic quantities to plot. Possible values in [“internal_energy”, “free_energy”, “entropy”, “c_v”].
fontsize – Legend and title fontsize.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

ipw_harmonic_thermo
()[source]¶ Return an ipython widget with controllers to plot thermodynamic properties from the phonon DOS within the harmonic approximation.

property
phtk
Module¶
Phonon Toolkit: This module gathers lowlevel tools to operate on phonons.

abipy.dfpt.phtk.
get_dyn_mat_eigenvec
(phdispl, structure, amu=None, amu_symbol=None)[source]¶ Converts the phonon displacements to the orthonormal eigenvectors of the dynamical matrix. Small discrepancies with the original values may be expected due to the different values of the atomic masses in abinit and pymatgen.
Note
These eigenvectors are orthonormalized and should be very close to the ones computed by Abinit in a.u. Note, however, that the output vectors are given in atomic units so dividing then by the sqrt(Mass) won’t give the dipl_cart used in PhononBands that are in Angstrom.
 Parameters
phdispl – a numpy array containing the displacements in cartesian coordinates. The last index should have size 3*(num atoms), but the rest of the shape is arbitrary. If qpts is not None the first dimension should match the q points.
structure –
abipy.core.structure.Structure
object.amu – dictionary that associates the atomic numbers present in the structure to the values of the atomic mass units used for the calculation. Incompatible with amu_sumbol. If None and amu_symbol is None, values from pymatgen will be used. Note that this will almost always lead to inaccuracies in the conversion.
amu_symbol – dictionary that associates the symbol present in the structure to the values of the atomic mass units used for the calculation. Incompatible with amu. If None and amu_symbol is None, values from pymatgen will be used. that this will almost always lead to inaccuracies in the conversion.
 Returns
A
numpy.ndarray
of the same shape as phdispl containing the eigenvectors of the dynamical matrix

abipy.dfpt.phtk.
match_eigenvectors
(v1, v2)[source]¶ Given two list of vectors, returns the pair matching based on the complex scalar product. Returns the indices of the second list that match the vectors of the first list in ascending order.

class
abipy.dfpt.phtk.
NonAnalyticalPh
(structure, directions, phfreqs, phdispl_cart, amu=None)[source]¶ Bases:
abipy.core.mixins.Has_Structure
Phonon data at gamma including non analytical contributions Read from anaddb.nc

classmethod
from_file
(filepath)[source]¶ Reads the non analytical directions, frequencies and displacements from the anaddb.nc file specified. Non existence of displacements is accepted for compatibility with abinit 8.0.6 Raises an error if the other values are not present in anaddb.nc.

dyn_mat_eigenvect
[source]¶ [ndirection, 3*natom, 3*natom] array with the orthonormal eigenvectors of the dynamical matrix. in Cartesian coordinates.

property
structure
¶ abipy.core.structure.Structure
object.

index_direction
(direction, cartesian=False)[source]¶ Returns: the index of direction. Raises: ValueError if not found.
 Parameters
direction – a 3 element list indicating the direction. Can be a generic vector
cartesian – if True the direction are already in cartesian coordinates, if False it will be converted to match the internal description of the directions.

has_direction
(direction, cartesian=False)[source]¶ Checks if the input direction is among those available.
 Parameters
direction – a 3 element list indicating the direction. Can be a generic vector
cartesian – if True the direction are already in cartesian coordinates, if False it will be converted to match the internal description of the directions.

classmethod

abipy.dfpt.phtk.
open_file_phononwebsite
(filename, port=8000, website='http://henriquemiranda.github.io/phononwebsite', host='localhost', browser=None)[source]¶ Take a file, detect the type and open it on the phonon website Based on a similar function in <https://github.com/henriquemiranda/phononwebsite/phononweb.py>
 Parameters
filename – file with phonon data in phononwebsite format.
port – Initial port.
website – Website URL
host – localhost name.
browser – Open webpage in
browser
. Use default if $BROWSER if None.
qha
Module¶

class
abipy.dfpt.qha.
AbstractQHA
(structures, energies, eos_name='vinet', pressure=0)[source]¶ Bases:
object
Abstract class for the quasiharmonic approximation analysis. Provides some basic methods and plotting utils, plus a converter to write input files for phonopyqha or to generate an instance of phonopy.qha.QHA. These can be used to obtain other quantities and plots. Does not include electronic entropic contributions for metals.

fit_energies
(tstart=0, tstop=800, num=100)[source]¶ Performs a fit of the energies as a function of the volume at different temperatures.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
namedtuple with the following attributes:
tot_en: numpy array with shape (nvols, num) with the energies used for the fit fits: list of subclasses of pymatgen.analysis.eos.EOSBase, depending on the type of eos chosen. Contains the fit for the energies at the different temperatures. min_en: numpy array with the minimum energies for the list of temperatures min_vol: numpy array with the minimum volumes for the list of temperatures temp: numpy array with the temperatures considered

abstract
get_vib_free_energies
(tstart=0, tstop=800, num=100)[source]¶ Generates the vibrational free energy corresponding to all the structures.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
A numpy array of num values of the vibrational contribution to the free energy

abstract
get_thermodynamic_properties
(tstart=0, tstop=800, num=100)[source]¶ Generates all the thermodynamic properties corresponding to all the volumes.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
tmesh: numpy array with the list of temperatures. Shape (num). cv: constantvolume specific heat, in eV/K. Shape (nvols, num). free_energy: free energy, in eV. Shape (nvols, num). entropy: entropy, in eV/K. Shape (nvols, num). zpe: zero point energy in eV. Shape (nvols).
 Return type
namedtuple with the following attributes for all the volumes

property
nvols
¶ Number of volumes

property
natoms
¶ Number of atoms in the unit cell.

set_eos
(eos_name)[source]¶ Set the EOS model used for the fit.
 Parameters
eos_name – string indicating the expression used to fit the energies. See pymatgen.analysis.eos.EOS.

plot_energies
(tstart=0, tstop=800, num=10, ax=None, **kwargs)[source]¶ Plots the energies as a function of volume at different temperatures.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 10.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

get_thermal_expansion_coeff
(tstart=0, tstop=800, num=100)[source]¶ Calculates the thermal expansion coefficient as a function of temperature, using finite difference on the fitted values of the volume as a function of temperature.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
Returns:
abipy.core.func1d.Function1D

plot_thermal_expansion_coeff
(tstart=0, tstop=800, num=100, ax=None, **kwargs)[source]¶ Plots the thermal expansion coefficient as a function of the temperature.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_vol_vs_t
(tstart=0, tstop=800, num=100, ax=None, **kwargs)[source]¶ Plot the volume as a function of the temperature.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_phbs
(phbands, temperatures=None, t_max=1000, colormap='plasma', **kwargs)[source]¶ Given a list of
abipy.dfpt.phonons.PhononBands
plots the band structures with a color depending on the temperature using aabipy.dfpt.phonons.PhononBandsPlotter
. If temperatures are not given they will be deduced inverting the dependence of volume with respect to the temperature. If a unique volume could not be identified an error will be raised. Parameters
phbands – list of
abipy.dfpt.phonons.PhononBands
objects.temperatures – list of temperatures.
t_max – maximum temperature considered for plotting.
colormap – matplotlib color map.
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

get_vol_at_t
(t)[source]¶ Calculates the volume corresponding to a specific temperature.
 Parameters
t – temperature in K
 Returns
The volume

get_t_for_vols
(vols, t_max=1000)[source]¶ Find the temperatures corresponding to a specific volume. The search is performed interpolating the V(T) dependence with a spline and finding the roots with of V(t)  v. It may return more than one temperature for a volume in case of non monotonic behavior.
 Parameters
vols – list of volumes
t_max – maximum temperature considered for the fit
 Returns
A list of lists of temperatures. For each volume more than one temperature can be identified.

write_phonopy_qha_inputs
(tstart=0, tstop=2100, num=211, path=None)[source]¶ Writes nvols thermal_propertiesi.yaml files that can be used as inputs for phonopyqha. Notice that phonopy apparently requires the value of the 300 K temperature to be present in the list. Choose the values of tstart, tstop and num to satisfy this condition.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 211.
path – a path to a folder where the files will be stored

get_phonopy_qha
(tstart=0, tstop=2100, num=211, eos='vinet', t_max=None, energy_plot_factor=None)[source]¶ Creates an instance of phonopy.qha.QHA that can be used generate further plots and output data. The object is returned right after the construction. The “run()” method should be executed before getting results and plots. Notice that phonopy apparently requires the value of the 300 K temperature to be present in the list. Choose the values of tstart, tstop and num to satisfy this condition.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 211.
eos – the expression used to fit the energies in phonopy. Possible values are “vinet”, “murnaghan” and “birch_murnaghan”. Passed to phonopy’s QHA.
t_max – maximum temperature. Passed to phonopy’s QHA.
energy_plot_factor – factor multiplying the energies. Passed to phonopy’s QHA.
 Returns
An instance of phonopy.qha.QHA


class
abipy.dfpt.qha.
QHA
(structures, doses, energies, eos_name='vinet', pressure=0)[source]¶ Bases:
abipy.dfpt.qha.AbstractQHA
Object to extract results in the quasiharmonic approximation from electronic and phonon calculations at different volumes. Provides some basic methods and plotting utils, plus a converter to write input files for phonopyqha or to generate an instance of phonopy.qha.QHA. These can be used to obtain other quantities and plots. Does not include electronic entropic contributions for metals.
Inheritance Diagram

classmethod
from_files
(gsr_paths, phdos_paths)[source]¶ Creates an instance of QHA from a list of GSR files and a list of PHDOS.nc files. The list should have the same size and the volumes should match.
 Parameters
gsr_paths – list of paths to GSR files.
phdos_paths – list of paths to PHDOS.nc files.
Returns: A new instance of QHA

get_vib_free_energies
(tstart=0, tstop=800, num=100)[source]¶ Generates the vibrational free energy from the phonon DOS.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
A numpy array of num values of the vibrational contribution to the free energy

get_thermodynamic_properties
(tstart=0, tstop=800, num=100)[source]¶ Generates all the thermodynamic properties corresponding to all the volumes using the phonon DOS.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
tmesh: numpy array with the list of temperatures. Shape (num). cv: constantvolume specific heat, in eV/K. Shape (nvols, num). free_energy: free energy, in eV. Shape (nvols, num). entropy: entropy, in eV/K. Shape (nvols, num). zpe: zero point energy in eV. Shape (nvols).
 Return type
namedtuple with the following attributes for all the volumes

classmethod

class
abipy.dfpt.qha.
QHA3PF
(structures, doses, energies, ind_doses, eos_name='vinet', pressure=0, fit_degree=2)[source]¶ Bases:
abipy.dfpt.qha.AbstractQHA
Object to extract results in the quasiharmonic approximation from several electronic energies at different volumes and three phonon calculations. Provides some basic methods and plotting utils, plus a converter to write input files for phonopyqha or to generate an instance of phonopy.qha.QHA. These can be used to obtain other quantities and plots. Does not include electronic entropic contributions for metals.
Inheritance Diagram

classmethod
from_files
(gsr_paths, phdos_paths, ind_doses)[source]¶ Creates an instance of QHA from a list of GSR files and a list of PHDOS.nc files. The list should have the same size and the volumes should match.
 Parameters
gsr_paths – list of paths to GSR files.
phdos_paths – list of paths to three PHDOS.nc files.
ind_doses – list of three values indicating, for each of the three doses, the index of the corresponding gsr_file in “gsr_paths”.
Returns: A new instance of QHA

get_thermodynamic_properties
(tstart=0, tstop=800, num=100)[source]¶ Generates all the thermodynamic properties corresponding to all the volumes using the phonon DOS.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
tmesh: numpy array with the list of temperatures. Shape (num). cv: constantvolume specific heat, in eV/K. Shape (nvols, num). free_energy: free energy, in eV. Shape (nvols, num). entropy: entropy, in eV/K. Shape (nvols, num). zpe: zero point energy in eV. Shape (nvols).
 Return type
namedtuple with the following attributes for all the volumes

get_vib_free_energies
(tstart=0, tstop=800, num=100)[source]¶ Generates the vibrational free energy corresponding to all the structures, either from the phonon DOS or from a fit of the known values.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
A numpy array of num values of the vibrational contribution to the free energy

classmethod

class
abipy.dfpt.qha.
QHA3P
(structures, gruns, energies, ind_grun, eos_name='vinet', pressure=0)[source]¶ Bases:
abipy.dfpt.qha.AbstractQHA
Object to extract results in the quasiharmonic approximation from several electronic energies at different volumes and three phonon calculations. Provides some basic methods and plotting utils, plus a converter to write input files for phonopyqha or to generate an instance of phonopy.qha.QHA. These can be used to obtain other quantities and plots. Does not include electronic entropic contributions for metals.
Inheritance Diagram

classmethod
from_files
(gsr_paths, grun_file_path, ind_doses)[source]¶ Creates an instance of QHA from a list of GSR files and a list PHDOS.nc files. The list should have the same size and the volumes should match.
 Parameters
gsr_paths – list of paths to GSR files.
phdos_paths – list of paths to three PHDOS.nc files.
ind_doses – list of three values indicating, for each of the three doses, the index of the corresponding gsr_file in “gsr_paths”.
 Returns
A new instance of QHA

get_thermodynamic_properties
(tstart=0, tstop=800, num=100)[source]¶ Generates the thermodynamic properties corresponding to all the structures, either from the phonon frequencies or from a fit of the know values.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
tmesh: numpy array with the list of temperatures. Shape (num). cv: constantvolume specific heat, in eV/K. Shape (nvols, num). free_energy: free energy, in eV. Shape (nvols, num). entropy: entropy, in eV/K. Shape (nvols, num). zpe: zero point energy in eV. Shape (nvols).
 Return type
namedtuple with the following attributes for all the volumes

fitted_frequencies
[source]¶ A numpy array with size (nvols, nqpts_ibz, 3*natoms) containing the phonon frequencies for all the volumes, either from the original phonon calculations or fitted

get_vib_free_energies
(tstart=0, tstop=800, num=100)[source]¶ Generates the vibrational free energy corresponding to all the structures, either from the phonon DOS or from a fit of the know values.
 Parameters
tstart – The starting value (in Kelvin) of the temperature mesh.
tstop – The end value (in Kelvin) of the mesh.
num – int, optional Number of samples to generate. Default is 100.
 Returns
A numpy array of num values of the vibrational contribution to the free energy

classmethod

abipy.dfpt.qha.
get_free_energy
(w, weights, t)[source]¶ Calculates the free energy in eV from the phonon frequencies on a regular grid.
 Parameters
w – the phonon frequencies
weights – the weights of the qpoints
t – the temperature

abipy.dfpt.qha.
get_cv
(w, weights, t)[source]¶ Calculates the constantvolume specific heat in eV/K from the phonon frequencies on a regular grid.
 Parameters
w – the phonon frequencies
weights – the weights of the qpoints
t – the temperature

abipy.dfpt.qha.
get_zero_point_energy
(w, weights)[source]¶ Calculates the zero point energy in eV from the phonon frequencies on a regular grid.
 Parameters
w – the phonon frequencies
weights – the weights of the qpoints

abipy.dfpt.qha.
get_entropy
(w, weights, t)[source]¶ Calculates the entropy in eV/K from the phonon frequencies on a regular grid.
 Parameters
w – the phonon frequencies
weights – the weights of the qpoints
t – the temperature

class
abipy.dfpt.qha.
AbstractQmeshAnalyzer
[source]¶ Bases:
object
Abstract class for the analysis of the convergence wrt to the qmesh used to compute the phonon DOS. Relies on abstract methods implemented in AbstractQHA.

fontsize
= 8¶

colormap
= 'viridis'¶

set_eos
(eos_name)[source]¶ Set the EOS model used for the fit.
 Parameters
eos_name – string indicating the expression used to fit the energies. See pymatgen.analysis.eos.EOS.

plot_energies
(**kwargs)[source]¶ Plots the energies as a function of volume at different temperatures. kwargs are propagated to the analogous method of QHA.
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_thermal_expansion_coeff
(**kwargs)[source]¶ Plots the thermal expansion coefficient as a function of the temperature. kwargs are propagated to the analogous method of QHA.
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot_vol_vs_t
(**kwargs)[source]¶ Plot the volume as a function of the temperature. kwargs are propagated to the analogous method of QHA.
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

raman
Module¶

class
abipy.dfpt.raman.
PowderIntensity
(paral, perp, tot)¶ Bases:
tuple

property
paral
¶ Alias for field number 0

property
perp
¶ Alias for field number 1

property
tot
¶ Alias for field number 2

property

class
abipy.dfpt.raman.
Raman
(susceptibility, phfreqs, non_anal_susceptibility=None, non_anal_phfreqs=None, non_anal_directions=None)[source]¶ Bases:
object
An object that allows to obtain the Raman intensities based on the calculated susceptibilities. The expressions used to extract the different values of the Raman intensities can be found for example in PRB 71, 214307, Physics of the Earth and Planetary Interiors 174, 113 or PRB 71, 125107.

classmethod
from_file
(filepath)[source]¶ Create the object from an anaddb.nc netcdf file.
 Parameters
filepath – path to the netcdf file.
 Returns
An instance of Raman.

get_modes_intensities
(temp, laser_freq, non_anal_dir=None, relative=False, units='eV', pol_in=None, pol_out=None)[source]¶ Calculates the Raman intensities for each mode in arbitrary units. It is possible to use the susceptibilities from the transverse modes only or to specify one of the directions with non analytical contributions. By default it returns an array with shape (n modes, 3, 3) where each component of the 3x3 matrix are those with different incoming (the first index) and outgoing (the second index) polarization. These are along the components along the standard axes (e.g. “xx” or “yz” components). If pol_in and pol_out an array with shape (n modes) is returned corresponding to the selected polarizations.
 Parameters
temp – temperature in K.
laser_freq – frequency of the incident laser. The units are determined the “units” argument.
non_anal_dir – index of the direction along which the non analytical contribution has been calculated. Corresponds to the indices in the non_anal_directions attribute.
relative – if True the intensities will be rescaled so that the largest value is 1.
units – the units in which the input and the output frequencies will be given. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”)
pol_in – the polarization of the incoming photon. If not None can be either either a string with one of the cartesian components i.e. “x”, “y”, “z” or an array with 3 elements representing the polarization direction. If not None pol_out can not be None.
pol_out – the polarization of the outgoing photon. If not None can be either either a string with one of the cartesian components i.e. “x”, “y”, “z” or an array with 3 elements representing the polarization direction. If not None pol_in can not be None.
 Returns
An array with the Raman intensities. If pol_in==pol_out==None has shape (n modes, 3, 3) with all the components. Otherwise an array with size (n modes) with the intensities of the selected polarizations.

get_lorentz_intensity
(temp, laser_freq, width, non_anal_dir=None, min_freq=None, max_freq=None, num=1000, relative=False, units='eV', pol_in=None, pol_out=None)[source]¶ Calculates the broadened Raman intensities in arbitrary units for frequencies in an interval. It is possible to use the susceptibilities from the transverse modes only or to specify one of the directions with non analytical contributions. By default it returns a 3x3 matrix where each component is a Function1D object with the Raman intensities with different incoming (the first index) and outgoing (the second index) polarization. These are along the components along the standard axes (e.g. “xx” or “yz” components). If pol_in and pol_out a single Function1D is returned corresponding to the selected polarizations.
 Parameters
temp – temperature in K.
laser_freq – frequency of the incident laser. The units are determined the “units” argument.
width – the width of the Lorentz distribution. The units are determined the “units” argument.
non_anal_dir – index of the direction along which the non analytical contribution has been calculated. Corresponds to the indices in the non_anal_directions attribute.
min_freq – minimum frequency considered. If None it will be given by the minimum frequency with non zero intensities minus 10 times the width of the distribution. If given the units are determined by the “units” argument.
max_freq – maximum frequency considered. If None it will be given by the maximum frequency with non zero intensities plus 10 times the width of the distribution. If given the units are determined by the “units” argument.
num – number of frequencies in the interval (min_freq, max_freq).
relative – if True the intensities will be rescaled so that the largest value is 1.
units – the units in which the input and the output frequencies will be given. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”)
pol_in – the polarization of the incoming photon. If not None can be either either a string with one of the cartesian components i.e. “x”, “y”, “z” or an array with 3 elements representing the polarization direction. If not None pol_out can not be None.
pol_out – the polarization of the outgoing photon. If not None can be either either a string with one of the cartesian components i.e. “x”, “y”, “z” or an array with 3 elements representing the polarization direction. If not None pol_in can not be None.
 Returns
If pol_in==pol_out==None a 3x3 list with a Function1D corresponding to the different components of the intensities. Otherwise a single Function1D with the intensities of the selected polarizations. Each Function1D has “num” points.

get_powder_intensity
(temp, laser_freq, non_anal_dir=None, relative=False, units='eV')[source]¶ Calculates the Raman intensities in arbitrary units for each mode integrated over all possible orientation to reproduce the powder measurements. It is possible to use the susceptibilities from transverse modes only or to specify one of the directions with non analytical contributions.
 Parameters
temp – temperature in K.
laser_freq – frequency of the incident laser. The units are determined the “units” argument.
non_anal_dir – index of the direction along which the non analytical contribution has been calculated. Corresponds to the indices in the non_anal_directions attribute.
relative – if True the intensities will be rescaled so that the largest value of the total intensity is 1.
units – the units in which the input and the output frequencies will be given. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”)
 Returns
A PowderIntensity with the parallel, perpendicular and total components of the powder intensities. Each one is an array with length n modes.

get_powder_lorentz_intensity
(temp, laser_freq, width, non_anal_dir=None, min_freq=None, max_freq=None, num=1000, relative=False, units='eV')[source]¶ Calculates the broadened Raman intensities in arbitrary units integrated over all possible orientation to reproduce the powder measurements for frequencies in an interval. It is possible to use the susceptibilities from the transverse modes only or to specify one of the directions with non analytical contributions.
 Parameters
temp – temperature in K.
laser_freq – frequency of the incident laser. The units are determined the “units” argument.
width – the width of the Lorentz distribution. The units are determined the “units” argument.
non_anal_dir – index of the direction along which the non analytical contribution has been calculated. Corresponds to the indices in the non_anal_directions attribute.
min_freq – minimum frequency considered. If None it will be given by the minimum frequency with non zero intensities minus 10 times the width of the distribution. If given the units are determined by the “units” argument.
max_freq – maximum frequency considered. If None it will be given by the maximum frequency with non zero intensities plus 10 times the width of the distribution. If given the units are determined by the “units” argument.
num – number of frequencies in the interval (min_freq, max_freq).
relative – if True the intensities will be rescaled so that the largest value of the total intensity is 1.
units – the units in which the input and the output frequencies will be given. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”)
 Returns
A PowderIntensity with the parallel, perpendicular and total components of the powder intensities. Each one is a Function1D with “num” points.

plot_intensity
(temp, laser_freq, width, value, non_anal_dir=None, min_freq=None, max_freq=None, num=1000, relative=False, units='eV', ax=None, plot_phfreqs=False, **kwargs)[source]¶ Plot one representation of the broadened Raman intensities.
 Parameters
temp – temperature in K.
laser_freq – frequency of the incident laser. The units are determined the “units” argument.
width – the width of the Lorentz distribution. The units are determined the “units” argument. If None or 0 a plot of only the frequencies for each mode will be given.
value – a string describing the value that should be plotted. Can be “powder” or a string of the type “xz” with the polarization of the incoming and outgoing phonon. All the combinations of “x”, “y” and “z” are accepted.
non_anal_dir – index of the direction along which the non analytical contribution has been calculated. Corresponds to the indices in the non_anal_directions attribute.
min_freq – minimum frequency considered. If None it will be given by the minimum frequency with non zero intensities minus 10 times the width of the distribution. If given the units are determined by the “units” argument.
max_freq – maximum frequency considered. If None it will be given by the maximum frequency with non zero intensities plus 10 times the width of the distribution. If given the units are determined by the “units” argument.
num – number of frequencies in the interval (min_freq, max_freq).
relative – if True the intensities will be rescaled so that the largest value of the total intensity is 1.
units – the units in which the input and the output frequencies will be given. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”)
ax –
matplotlib.axes.Axes
or None if a new figure should be created.plot_phfreqs – if True vertical dashed lines are added to the figure for all the phonon modes.
**kwargs – arguments passed to the plot function.
 Returns
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

classmethod
vsound
Module¶
Tools to compute speed of sound.

class
abipy.dfpt.vsound.
SoundVelocity
(directions, sound_velocities, mode_types, structure, labels=None, phfreqs=None, qpts=None)[source]¶ Bases:
abipy.core.mixins.Has_Structure
,abipy.core.mixins.NotebookWriter
Compute the speed of sound by fitting phonon frequencies along selected directions by linear leastsquares fit.

property
structure
¶

property
n_directions
¶ Number of directions.

classmethod
from_ddb
(ddb_path, directions=None, labels=None, num_points=20, qpt_norm=0.1, ignore_neg_freqs=True, asr=2, chneut=1, dipdip=1, ngqpt=None, spell_check=True, anaddb_kwargs=None, verbose=0, mpi_procs=1, workdir=None, manager=None)[source]¶ Creates and instance of the object. Runs anaddb along the specified directions or the standard directions in the standard paths given in [Setyawan2010]. The values of the speed of sound will be calculated as the slope of the linear fits along each direction.
 Parameters
ddb_path (str) – path to the ddb file.
directions (list) – list of qpoints identifying the directions for the calculation of the speed of sound. In fractional coordinates.
labels (list) – list of string with the name of the directions.
num_points (int) – number of points calculated along each direction and used to fit the speed of sound.
qpt_norm (float) – Norm of the largest point in fractional coordinates for each of the directions considered.
ignore_neg_freqs (bool) – if True points with negative frequencies will not be considered in the fit, in order to ignore inaccuracies in the long range behavior.
chneut, dipdip (asr,) – Anaddb input variable. See official documentation.
ngqpt – Number of divisions for the qmesh in the DDB file. Autodetected if None (default).
anaddb_kwargs – additional kwargs for anaddb.
verbose – verbosity level. Set it to a value > 0 to get more information.
mpi_procs – Number of MPI processes to use.
workdir – Working directory. If None, a temporary directory is created.
manager –
abipy.flowtk.tasks.TaskManager
object. If None, the object is initialized from the configuration file.
Returns: an instance of SoundVelocity

classmethod
from_phbst
(phbst_path, ignore_neg_freqs=True, labels=None)[source]¶ Creates an instance of the object starting interpolating the acoustic frequencies from a PHBST netcdf file. The file should contain a series of directions starting from gamma and with the same number of points for each direction, as the one produced in the from_ddb method.
 Parameters
Returns: an instance of SoundVelocity

get_dataframe
()[source]¶ Return a
pandas.DataFrame
with the data of the speed of sound.

plot_fit_freqs_dir
(idir, ax=None, units='eV', fontsize=8, **kwargs)[source]¶ Plots the phonon frequencies, if available, along the specified direction. The line representing the fitted value will be shown as well.
 Parameters
idir – index of the direction.
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
fontsize – fontsize for legends and titles
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

plot
(units='eV', fontsize=8, **kwargs)[source]¶ Plots the phonon frequencies, if available, along all the directions. The lines representing the fitted values will be shown as well.
 Parameters
ax –
matplotlib.axes.Axes
or None if a new figure should be created.units – Units for phonon plots. Possible values in (“eV”, “meV”, “Ha”, “cm1”, “Thz”). Caseinsensitive.
fontsize – fontsize for legends and titles
Returns:
matplotlib.figure.Figure
Keyword arguments controlling the display of the figure:
kwargs
Meaning
title
Title of the plot (Default: None).
show
True to show the figure (default: True).
savefig
“abc.png” or “abc.eps” to save the figure to a file.
size_kwargs
Dictionary with options passed to fig.set_size_inches e.g. size_kwargs=dict(w=3, h=4)
tight_layout
True to call fig.tight_layout (default: False)
ax_grid
True (False) to add (remove) grid from all axes in fig. Default: None i.e. fig is left unchanged.
ax_annotate
Add labels to subplots e.g. (a), (b). Default: False
fig_close
Close figure. Default: False.

property