# Multiple e-DOSes¶

This example shows how to compute and plot multiple electron DOSes obtained with different values of the gaussian broadening.

Out:

/Users/gmatteo/git_repos/pymatgen/pymatgen/util/plotting.py:550: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
plt.show()
/Users/gmatteo/git_repos/pymatgen/pymatgen/util/plotting.py:550: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
plt.show()
/Users/gmatteo/git_repos/pymatgen/pymatgen/util/plotting.py:550: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
plt.show()
/Users/gmatteo/git_repos/pymatgen/pymatgen/util/plotting.py:550: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
plt.show()
/Users/gmatteo/git_repos/pymatgen/pymatgen/util/plotting.py:550: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
plt.show()
/Users/gmatteo/git_repos/pymatgen/pymatgen/util/plotting.py:550: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
plt.show()


import abipy.data as abidata

from abipy import abilab

# Open the wavefunction file computed with a homogeneous sampling of the BZ
# and extract the band structure on the k-mesh.
with abilab.abiopen(abidata.ref_file("si_scf_WFK.nc")) as gs_wfk:
gs_bands = gs_wfk.ebands

# Compute the DOS with different values of the Gaussian smearing.
widths = [0.1, 0.2, 0.3]

edos_plotter = gs_bands.compare_gauss_edos(widths, step=0.1)

# Invoke ElectronDosPlotter methods to plot results.
edos_plotter.combiplot(title="e-DOS as function of the Gaussian broadening")

edos_plotter.gridplot(title="gridplot version")

with abilab.abiopen(abidata.ref_file("ni_666k_GSR.nc")) as gsr:
ni_ebands_kmesh = gsr.ebands

edos_plotter = ni_ebands_kmesh.compare_gauss_edos(widths=[0.1, 0.2, 0.3], step=0.2)

title = "e-DOS as function of the Gaussian broadening"
edos_plotter.combiplot(dos_mode="idos+dos")
edos_plotter.combiplot(dos_mode="dos", spin_mode="resolved")

edos_plotter.gridplot(title="gridplot version")
edos_plotter.gridplot(spin_mode="resolved")


Total running time of the script: ( 0 minutes 0.969 seconds)

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