Python Processing Tool for Vasp Ipnut/Output

Overview

PivotPy

A Python Processing Tool for Vasp Input/Output. A CLI is available in Powershell, see Vasp2Visual.

Run in Azure Open In Colab

  Index● 
  XmlElementTree 
  StaticPlots 
  InteractivePlots 
  Utilities 
  StructureIO 
  Widgets 

Install

pip install pivotpy

How to use

Changelog for version 0.9.5 onward

  • pivotpy.s_plots.splot_rgb_lines and pivotpy.s_plots.splot_rgb_lines are refactored and no more depnd on create_rgb_lines, so this function is dropped, If you still want to use it, use versions below 0.9.5.
  • A class pivotpy.g_utils.Vasprun is added which provides shortcut for export_vasprun and plotting functions. Under this class or as aliases:
    • splot_bands --> sbands
    • splot_rgb_lines --> srgb
    • iplot_rgb_lines --> irgb
    • splot_color_lines --> scolor
    • splot_dos_lines --> sdos
    • iplot_dos_lines --> idos
  • The plot functions starting with 'quick' or 'plotly' are still working but deprecated in favor of consistent names above starting from version 1.0.3.
  • A class pivotpy.g_utils.LOCPOT_CHG is added which can be used to parse and visualize files like LOCPOT and CHG.
  • A function pivotpy.vr_parser.split_vasprun is added which splits vasprun.xml file into a small file _vasprun.xml without projected data and creates text files _set[1,2,3,4].txt based on how many spin sets are there.
  • A function pivotpy.vr_parser.islice2array is added which can reads data from text/csv/tsv files (even if text and numbers are mixed) accoridng to slices you provide, this does not load full file in memory and it is also useful in parsing EIGENVAL, PROCAR like files with a few lines of code only.
  • Version 1.0.0 is updated with an overhaul of widgets module. VasprunApp is introduced as class to access internals of app easily.

CLI commnds

  • Use pivotpy in system terminal to launch DOCS.
  • Use pivotpy_get_poscar to download POSCAR.
  • Use pivotpy_get_kpath to create fine controlled KPATH.
  • More to come.

New: Plot in Terminal without GUI

Use pp.plt2text(colorful=True/False) after matplotlib's code and your figure will appear in terminal. You need to zoom out alot to get a good view like below.

Tip: Use file matplotlib2terminal.py on github independent of this package to plot in terminal. IMG

New: Ipywidgets-based GUI

See GIF here: GIF

New: Live Slides in Jupyter Notebook

Navigate to ipyslides or do pip install ipyslides to create beautiful data driven presentation in Jupyter Notebook.

import os, pivotpy as pp
os.chdir('E:/Research/graphene_example/ISPIN_1/bands')
xml_data=pp.read_asxml()
vr=pp.export_vasprun(elim=[-5,5])
vr
Loading from PowerShell Exported Data...





Data(
    sys_info = Data(
        SYSTEM = C2
        NION = 2
        NELECT = 8
        TypeION = 1
        ElemName = ['C']
        E_Fermi = -3.3501
        fields = ['s', 'py', 'pz', 'px', 'dxy', 'dyz', 'dz2', 'dxz', 'x2-y2']
        incar = Data(
            SYSTEM = C2
            PREC = high
            ALGO = N
            LSORBIT = T
            NELMIN = 7
            ISMEAR = 0
            SIGMA = 0.10000000
            LORBIT = 11
            GGA = PS
        )
        ElemIndex = [0, 2]
        ISPIN = 1
    )
    dim_info = Data(
        kpoints = (NKPTS,3)
        kpath = (NKPTS,1)
        bands = ⇅(NKPTS,NBANDS)
        dos = ⇅(grid_size,3)
        pro_dos = ⇅(NION,grid_size,en+pro_fields)
        pro_bands = ⇅(NION,NKPTS,NBANDS,pro_fields)
    )
    kpoints = 
   
    
    kpath = 
    
     
    bands = Data(
        E_Fermi = -3.3501
        ISPIN = 1
        NBANDS = 21
        evals = 
     
      
        indices = range(1, 22)
    )
    tdos = Data(
        E_Fermi = -3.3501
        ISPIN = 1
        tdos = 
      
       
    )
    pro_bands = Data(
        labels = ['s', 'py', 'pz', 'px', 'dxy', 'dyz', 'dz2', 'dxz', 'x2-y2']
        pros = 
       
         ) pro_dos = Data( labels = ['s', 'py', 'pz', 'px', 'dxy', 'dyz', 'dz2', 'dxz', 'x2-y2'] pros = 
        
          ) poscar = Data( SYSTEM = C2 volume = 105.49324928 basis = 
         
           rec_basis = 
          
            positions = 
           
             labels = ['C 1', 'C 2'] unique = Data( C = range(0, 2) ) ) ) 
           
          
         
        
       
      
     
    
   

Matplotlib's static plots

  • Add anything from legend,colorbar, colorwheel. In below figure, all three are shown.
  • Use aliases such as sbands, sdos,srgb,irgb,scolor,idos for plotting.
#collapse_input
import pivotpy as pp, numpy as np 
import matplotlib.pyplot as plt 
vr1=pp.export_vasprun('E:/Research/graphene_example/ISPIN_2/bands/vasprun.xml')
vr2=pp.export_vasprun('E:/Research/graphene_example/ISPIN_2/dos/vasprun.xml')
axs=pp.init_figure(ncols=3,widths=[2,1,2.2],sharey=True,wspace=0.05,figsize=(8,2.6))
elements=[0,[0],[0,1]]
orbs=[[0],[1],[2,3]]
labels=['s','$p_z$','$(p_x+p_y)$']
ti_cks=dict(ktick_inds=[0,30,60,-1],ktick_vals=['Γ','M','K','Γ'])
args_dict=dict(elements=elements,orbs=orbs,labels=labels,elim=[-20,15])
pp.splot_bands(path_evr=vr1,ax=axs[0],**ti_cks,elim=[-20,15])
pp.splot_rgb_lines(path_evr=vr1,ax=axs[2],**args_dict,**ti_cks,colorbar=True,)
pp.splot_dos_lines(path_evr=vr2,ax=axs[1],vertical=True,spin='both',include_dos='pdos',**args_dict,legend_kwargs={'ncol': 3},colormap='RGB_m')
pp.color_wheel(axs[2],xy=(0.7,1.15),scale=0.2,labels=[l+'$^{⇅}$' for l in labels])
pp._show() 
�[0;92m elements[0] = 0 is converted to range(0, 2) which picks all ions of 'C'.To just pick one ion at this index, wrap it in brackets [].�[00m


E:\Research\pivotpy\pivotpy\s_plots.py:457: MatplotlibDeprecationWarning:

shading='flat' when X and Y have the same dimensions as C is deprecated since 3.3.  Either specify the corners of the quadrilaterals with X and Y, or pass shading='auto', 'nearest' or 'gouraud', or set rcParams['pcolor.shading'].  This will become an error two minor releases later.

svg

Interactive plots using plotly

args_dict['labels'] = ['s','p_z','p_x+p_y']
fig1 = pp.iplot_rgb_lines(vr1,**args_dict)
#pp.iplot2html(fig1) #Do inside Google Colab, fig1 inside Jupyter
from IPython.display import Markdown
Markdown("[See Interactive Plot](https://massgh.github.io/InteractiveHTMLs/iGraphene.html)")

See Interactive Plot

Brillouin Zone (BZ) Processing

  • Look in pivotpy.sio module for details on generating mesh and path of KPOINTS as well as using Materials Projects' API to get POSCAR right in the working folder with command get_poscar. Below is a screenshot of interactive BZ plot. You can double click on blue points and hit Ctrl + C to copy the high symmetry points relative to reciprocal lattice basis vectors. (You will be able to draw kpath in Pivotpy-Dash application and generate KPOINTS automatically from a web interface later on!).
  • Same color points lie on a sphere, with radius decreasing as red to blue and gamma point in gold color. These color help distinguishing points but the points not always be equivalent, for example in FCC, there are two points on mid of edges connecting square-hexagon and hexagon-hexagon at equal distance from center but not the same points.
  • Any colored point's hover text is in gold background.

Look the output of pivotpy.sio.splot_bz.

BZ

import pivotpy as pp 
pp.splot_bz([[1,0,0],[0,1,0],[0,0,1]],color=(1,1,1,0.2),light_from=(0.5,0,2),colormap='RGB').set_axis_off()
#pp.iplot2html(fig2) #Do inside Google Colab, fig1 inside Jupyter
from IPython.display import Markdown
Markdown("[See Interactive BZ Plot](https://massgh.github.io/InteractiveHTMLs/BZ.html)")

See Interactive BZ Plot

svg

Plotting Two Calculations Side by Side

  • Here we will use shift_kpath to demonstrate plot of two calculations on same axes side by side
#nbdev_collapse_input
import matplotlib.pyplot as plt
import pivotpy as pp 
plt.style.use('bmh')
vr1=pp.export_vasprun('E:/Research/graphene_example/ISPIN_1/bands/vasprun.xml')
shift_kpath=vr1.kpath[-1] # Add last point from first export in second one.
vr2=pp.export_vasprun('E:/Research/graphene_example/ISPIN_2/bands/vasprun.xml',shift_kpath=shift_kpath,try_pwsh=False)
last_k=vr2.kpath[-1]
axs=pp.init_figure(figsize=(5,2.6))
K_all=[*vr1.kpath,*vr2.kpath] # Merge kpath for ticks
kticks=[K_all[i] for i in [0,30,60,90,120,150,-1]]
ti_cks=dict(xticks=kticks,xt_labels=['Γ','M','K','Γ','M','K','Γ'])
pp.splot_bands(path_evr=vr1,ax=axs)
pp.splot_bands(path_evr=vr2,ax=axs,txt='Graphene(Left: ISPIN=1, Right: ISPIN=2)',ctxt='m')
pp.modify_axes(ax=axs,xlim=[0,last_k],ylim=[-10,10],**ti_cks)
Loading from PowerShell Exported Data...

svg

Interpolation

Amost every bandstructure and DOS plot function has an argument interp_nk which is a dictionary with keys n (Number of additional points between adjacent points) and k (order of interpolation 0-3). n > k must hold.

#collapse_input
import pivotpy as pp
plt.style.use('ggplot')
k=vr1.kpath
ef=vr1.bands.E_Fermi
evals=vr1.bands.evals-ef
#Let's interpolate our graph to see effect. It is useful for colored graphs.
knew,enew=pp.interpolate_data(x=k,y=evals,n=10,k=3)
plot=plt.plot(k,evals,'m',lw=5,label='real data')
plot=plt.plot(k,evals,'w',lw=1,label='interpolated',ls='dashed')
pp.add_text(ax=plt.gca(),txts='Graphene')

svg

LOCPOT,CHG Visualization

check out the class pivotpy.LOCPOT_CHG to visulize local potential/charge and magnetization in a given direction.

Running powershell commands from python.

Some tasks are very tideious in python while just a click way in powershell. See below, and try to list processes in python yourself to see the difference!

pp.ps2std(ps_command='(Get-Process)[0..4]')
NPM(K)    PM(M)      WS(M)     CPU(s)      Id  SI ProcessName
------    -----      -----     ------      --  -- -----------
23     7.19       3.71       0.47   18012   1 AcrobatNotificationClient
15     4.05      11.25       0.34   15776   1 AdobeCollabSync
20     6.30      13.31       7.86   15820   1 AdobeCollabSync
15     5.12      12.90       0.00    5424   0 AppHelperCap
23    41.73      48.20       0.52    3800   1 ApplicationFrameHost

Advancaed: Poweshell Cell/Line Magic %%ps/%ps

  • You can create a IPython cell magic to run powershell commands directly in IPython Shell/Notebook (Powershell core installation required).
  • Cell magic can be assigned to a variable foo by %%ps --out foo
  • Line magic can be assigned to a variable by foo = %ps powershell_command

Put below code in ipython profile's startup file (create one) "~/.ipython/profile_default/startup/powershell_magic.py"

from IPython.core.magic import register_line_cell_magic
from IPython import get_ipython
@register_line_cell_magic
def ps(line, cell=None):
    if cell:
        return get_ipython().run_cell_magic('powershell',line,cell)
    else:
        get_ipython().run_cell_magic('powershell','--out posh_output',line)
        return posh_output.splitlines()

Additionally you need to add following lines in "~/.ipython/profile_default/ipython_config.py" file to make above magic work.

from traitlets.config.application import get_config
c = get_config()
c.ScriptMagics.script_magics = ['powershell']
c.ScriptMagics.script_paths = {
    'powershell' : 'powershell.exe -noprofile -command -',
    'pwsh': 'pwsh.exe -noprofile -command -'
}
%%ps 
Get-ChildItem 'E:\Research\graphene_example\'
    Directory: E:\Research\graphene_example





Mode                 LastWriteTime         Length Name                                                                        

----                 -------------         ------ ----                                                                        

da----        10/31/2020   1:30 PM                ISPIN_1                                                                     

da----          5/9/2020   1:05 PM                ISPIN_2                                                                     

-a----          5/9/2020   1:01 PM          75331 OUTCAR                                                                      

-a----          5/9/2020   1:01 PM         240755 vasprun.xml                                                                 
x = %ps (Get-ChildItem 'E:\Research\graphene_example\').Name
x
['ISPIN_1', 'ISPIN_2', 'OUTCAR', 'vasprun.xml']

Functions Reference

  Index● 
  XmlElementTree 
  StaticPlots 
  InteractivePlots 
  Utilities 
  StructureIO 
  Widgets 

A command line tool (and Python library) for archiving Twitter JSON

A command line tool (and Python library) for archiving Twitter JSON

Documenting the Now 1.3k Dec 28, 2022
This project contains the ClonedPerson dataset and code described in our paper "Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification".

ClonedPerson This is the official repository for the ClonedPerson project, which contains the ClonedPerson dataset and code described in our paper "Cl

Yanan Wang 55 Dec 27, 2022
Trans is a dependency-free CLI for Google Translate

Trans is a dependency-free CLI for Google Translate

11 Jan 04, 2022
A simple command line tool for changing the icons of folders or files on MacOS.

Mac OS File Icon Changer Description A small and simple script to quickly change large amounts or a few files and folders icons to easily customize th

Eroxl 3 Jan 02, 2023
A lightweight Python module and command-line tool for generating NATO APP-6(D) compliant military symbols from both ID codes and natural language names

Python military symbols This is a lightweight Python module, including a command-line script, to generate NATO APP-6(D) compliant military symbol icon

Nick Royer 5 Dec 27, 2022
Wordle - Wordle solver with python

wordle what is wordle? https://www.powerlanguage.co.uk/wordle/ preparing $ pip i

shidocchi 0 Jan 24, 2022
A small system that allow you to manage hosts stored in your .ssh/config file

A small system that allow you to manage hosts stored in your .ssh/config using simple commands.

Simone Ostini 1 Jan 24, 2022
Pyreadline3 - Windows implementation of the GNU readline library

pyreadline3 The pyreadline3 package is based on the stale package pyreadline loc

32 Jan 06, 2023
Skiller - With this payload you can control the target computer with (cmd)

Skiller - With this payload you can control the target computer with (cmd)

1 Jan 02, 2022
Alacritty terminal used with Bash, Tmux, Vim, Mutt, Lynx, etc. and the many different additions added to each configuration file

Alacritty terminal used with Bash, Tmux, Vim, Mutt, Lynx, etc. and the many different additions added to each configuration file

Carter 19 Aug 24, 2022
Standalone Tailwind CSS CLI, installable via pip

Standalone Tailwind CSS CLI, installable via pip Use Tailwind CSS without Node.j

Tim Kamanin 144 Dec 22, 2022
Container images for portable development environments

Docker Dev Spin up a container to develop from anywhere! To run, just: docker run -ti aghost7/nodejs-dev:boron tmux new Alternatively, if on Linux: p

Jonathan Boudreau 163 Dec 22, 2022
A simple CLI to convert snapshots into EAVT log, and EAVT log into SCD.

EAVT helper CLI Simple CLI to convert snapshots into eavt log, and eavt log into slowly changing dimensions Usage Installation Snapshot to EAVT log EA

2 Apr 07, 2022
Find your broken links, so users don't.

PyAnchor Dead links are an annoyance for websites with an extensive amount of content. A side from the negative impact on SEO, dead links are an annoy

Ricky White 61 Dec 14, 2022
As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more. https://twitter.com/httpie

HTTPie: human-friendly CLI HTTP client for the API era HTTPie (pronounced aitch-tee-tee-pie) is a command-line HTTP client. Its goal is to make CLI in

HTTPie 25.4k Dec 30, 2022
Modern line-oriented terminal emulator without support for TUIs.

Modern line-oriented terminal emulator without support for TUIs.

10 Jun 12, 2022
Tarstats - A simple Python commandline application that collects statistics about tarfiles

A simple Python commandline application that collects statistics about tarfiles.

Kristian Koehntopp 13 Feb 20, 2022
dbt-subdocs is a python CLI you can used to generate a dbt-docs for a subset of your dbt project

dbt-subdocs dbt-subdocs is a python CLI you can used to generate a dbt-docs for a subset of your dbt project 🤔 Description This project is useful if

Jambe 6 Jan 03, 2023
A simple Python CLI tool that draws routes/paths on a given map.

Map Router A simple Python CLI tool that draws routes/paths on a given map. Index Installation Usage Docs Why? License Support Installation Coming soo

Pedro Morim 1 Nov 07, 2021
A very simple python script to encode and decode PowerShell one-liners.

PowerShell Encoder A very simple python script to encode and decode PowerShell one-liners. I used Raikia's PowerShell encoder ALOT, but one day it wen

John Tear 5 Jul 29, 2022