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Introduction

pyband and pydos are two python scripts that analyse the VASP calculation results (e.g. OUTCAR and PROCAR) and convert the results to images. It offers a fast and effective way to preview the calcuated results. The image plotting utilizes matplotlib package.

Examples

pyband

When no argument is given, pyband reads in OUTCAR (optionally KPOINTS) and find the band information within. It then plots the resulting band structure and save it as band.png.

$ pyband

band_with_no_args

The default output image name can be changed by adding -o YourImageName.suffix to the above command line. Note that the image format is automatically recognized by the script, which can be any format that is supported by matplotlib. The size of the image can also be speified by -s width height command line arguments.

The labels of the high-symmetry K-points, which are not shown in the figure, can be designate by -k flag.

$ pyband -k mgkm

band_with_kname

In some cases, if you are interested in finding out the characters of each KS states, e.g. the contribution of some atom to each KS state, the flag --occ atoms comes to help.

$ pyband --occ '1 3 4'

or

$ pyband --occ '1-4'

or combination

$ pyband --occ '1-4 5-6 7'

Note the the index 0 is a special one, it is used select all the atoms

$ pyband --occ 0

band_with_atom_weight

where 1 3 4 are the atom index starting from 1 to #atoms in the above image. The size of red dots in the figure indicates the weight of the specified atoms to the KS states. This can also be represented using a colormap:

$ pyband --occ '1 3 4' --occL

band_with_atom_weight_cmap

If one wants to show contributions from three group of atoms:

$ pyband --occ '1 2' --occ '3 4 5 6' --occL -t --triAxesLabels Mo S Se -k mgkm

band_with_triple_contributions

The spd-projected weight can also be specefied:

$ pyband --occ '1 3 4' --spd '4 5 6 7 8'

or

$ pyband --occ '1 3 4' --spd 'd'

or in combination

$ pyband --occ '1 3 4' --spd 's p d 9-12'

band_with_atom_weight_spd

where in the arguments of --spd:

s orbital: 0

py, pz, px orbital: 1 2 3

dxy, dyz, dz2, dxz, dx2 orbital: 4 5 6 7 8

More command line arguments can be found by pyband -h.

For Mac users, iterm2 combined with imgcat can be used to show inline images. Just modify the last line from:

        call(['feh', '-xdF', opts.bandimage])

to

        call(['~/.iterm2/imgcat',  opts.bandimage])

more example:

pyband --occ '3 4' --spd '1' --occMc 'red' --occ '3-4' --spd '2-3' --occMc 'blue'

band_example_1

Plotable data

pyband command produces plotable data with a GNUPLOT compatiable format. Files are named "pyband.dat" for spinless or SOC calculations and "pyband_up(do).dat" for spinfull calculations. Plot the bandsturcture by:

$ gnuplot -presist  -e 'plot "pyband.dat" u 1:($2-3.0913) w l'

pydos

This script is used to plot partial density of states (pDOS) from VASP PROCAR files.

pydos -p '1 3 4' -p '2 7 8' -p '5 6 9' -z 0.65 -x -1 2 -y 0 6

pdos_example

where -p specifies the atom indexes, -x and -y determines the x and y limits of the plot, -z is followed by the energy reference of the plot.

npdos

This script can plot PDOS from multiple VASP PROCARs in multiple axes, example usages:

#!/bin/bash

npdos -nr 2 -f 4.8 4.0 \
    -o g1.png \
    -nxminor 4 \
    -i pbe/scf/PROCAR         -a 0 -p 0 -pv n -tlab 'PBE-PBE' -tlw 0.5 -tlc r \
    -i scf-pbe_opt-hse/PROCAR -a 0 -p 0 -pv n -tlab 'HSE-PBE' -tlw 0.5 -tlc b \
    -i scf-hse_opt-pbe/PROCAR -a 1 -p 0 -pv n -tlab 'PBE-HSE' -tlw 0.5 -tlc r \
    -i hse/scf/PROCAR         -a 1 -p 0 -pv n -tlab 'HSE-HSE' -tlw 0.5 -tlc b \
    -x -4 6 -x -6 6 \
    -z 3.3129 -z 3.3726 -z 3.5583 -z 3.6332 \
    -panelloc 0.01 0.95 \
    -q

The resulting figure:

npdos_example

xcell.py

This script utilize ASE to make supercells. The coordinates of the atoms in the resulting supercell is rearranged in the increasing order in the z-axis. It can also rearrange the elements in POSCAR in the required order. Moreover, vacuum can be added in the desired direction if specified. Examples usage:

xcell.py -i POSCAR -s 2 2 1 -n Ti O C H -vacuum 15  -ivacuum z -o new.vasp

In the above example, we are makeing a 2x2x1 supercell based on the cell given by POSCAR. The elements in the supercell are arranged in "Ti O C H" order. In addition, we add a vacuum of 15 Angstrom in the z-axis. The resulting supercell is stored in the file new.vasp.

molAdd.py

This script also make use of ASE to adsorb molecules onto the slab surface. Examples usage:

molAdd.py -m H2O -i POSCAR -a 36 --height 2.0 -rotx 60 -v 15.0

where we add a H2O molecule above the atom with index 36 (which is the 37th atom) by a height of 2.0 Angstrom. In addition, we rotate the molecule around x-axis by 60 degrees and add 15.0 Angstrom of vacuum to the slab. The list of available molecules is those from ase.collection.g2 database.