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 

Microsoft Azure CLI - Azure Command-Line Interface

A great cloud needs great tools; we're excited to introduce Azure CLI, our next generation multi-platform command line experience for Azure.

Microsoft Azure 3.4k Dec 30, 2022
Pequeno joguinho pra você rodar no seu terminal

JokenPython Pequeno joguinho pra você rodar no seu terminal Olá! Joguinho legal pra vc rodar no seu terminal!! (rode no terminal, pra melhor experienc

Scott 4 Nov 25, 2021
Python CLI utility and library for manipulating SQLite databases

sqlite-utils Python CLI utility and library for manipulating SQLite databases. Some feature highlights Pipe JSON (or CSV or TSV) directly into a new S

Simon Willison 1.1k Jan 04, 2023
Present - A terminal-based presentation tool with colors and effects.

present A terminal-based presentation tool with colors and effects. You can also play a codio (pre-recorded code block) on a slide. present is built o

Vinayak Mehta 4.2k Jan 03, 2023
Python remote shell.

Python remote shell.

Steven 9 Oct 17, 2022
A webmining CLI tool & library for python.

minet is a webmining command line tool & library for python (= 3.6) that can be used to collect and extract data from a large variety of web sources

médialab Sciences Po 165 Dec 17, 2022
Python CLI vm manager for remote access of docker images via noVNC

vmman is a tool to quickly boot and view docker-based VMs running on a linux server through noVNC without ssh tunneling on another network.

UCSD Engineers for Exploration 1 Nov 29, 2021
Albert launcher extension for converting units of length, mass, speed, temperature, time, current, luminosity, printing measurements, molecular substance, and more

unit-converter-albert-ext Extension for converting units of length, mass, speed, temperature, time, current, luminosity, printing measurements, molecu

Jonah Lawrence 2 Jan 13, 2022
slipit is a command line utility for creating archives with path traversal elements.

slipit is a command line utility for creating archives with path traversal elements. It is basically a successor of the famous evilarc utility with an extended feature set and improved base functiona

usd AG 35 Dec 23, 2022
Simple and convenient console ToDo list app

How do you handle remembering all that loads of plans you are going to realize everyday? Producing tons of paper notes, plastered all over the house?

3 Aug 03, 2022
A Python script for finding a food-truck based on latitude and longitude coordinates that you can run in your shell

Food Truck Finder Project Description This repository contains a Python script for finding a food-truck based on latitude and longitude coordinates th

1 Jan 22, 2022
asciinema - Terminal session recorder 📹

asciinema - Terminal session recorder 📹

asciinema 11.1k Dec 27, 2022
A **CLI** folder organizer written in Python.

Fsorter Introduction A CLI folder organizer written in Python. Dependencies Before installing, install the following dependencies: Ubuntu/Debain Based

1 Nov 17, 2021
Plumbum: Shell Combinators

Plumbum: Shell Combinators Ever wished the compactness of shell scripts be put into a real programming language? Say hello to Plumbum Shell Combinator

Tomer Filiba 2.5k Dec 28, 2022
Chameleon is yet another PowerShell obfuscation tool designed to bypass AMSI and commercial antivirus solutions.

Chameleon is yet another PowerShell obfuscation tool designed to bypass AMSI and commercial antivirus solutions. The tool has been developed as a Python port of the Chimera project, by tokioneon_.

332 Dec 26, 2022
PdpCLI is a pandas DataFrame processing CLI tool which enables you to build a pandas pipeline from a configuration file.

PdpCLI Quick Links Introduction Installation Tutorial Basic Usage Data Reader / Writer Plugins Introduction PdpCLI is a pandas DataFrame processing CL

Yasuhiro Yamaguchi 15 Jan 07, 2022
Zecwallet-Python is a simple wrapper around the Zecwallet Command Line LightClient written in Python

A wrapper around Zecwallet Command Line LightClient, written in Python Table of Contents About Installation Usage Examples About Zecw

Priveasy 2 Sep 06, 2022
Simple CLI for managing Postgres databases in Flask.

Overview Simple CLI that provides the following commands: flask psql create flask psql init flask psql drop flask psql setup: create → init flask psql

Daniel Reeves 21 Oct 03, 2022
Convert markdown to HTML using the GitHub API and some additional tweaks with Python.

Convert markdown to HTML using the GitHub API and some additional tweaks with Python. Comes with full formula support and image compression.

phseiff 70 Dec 23, 2022
A simple web-based SSH client.

Kommander A simple web-based SSH client. It supports: entering SSH login details (including private key and custom ports) and connecting user authenti

KingWaffleIII 2 Jan 01, 2022