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Simple tools to handle powder XRD (and XRD) data with Python.

Project description

powerxrd

Simple tools to handle powder XRD (and XRD) data

Installation

pip install powerxrd

Usage Example

On your Terminal ("command line"), copy-paste the following lines:

cd Desktop   		# go to your Desktop
mkdir pxrd		# create a folder called pxrd

cd pxrd 		# go inside that folder
touch example.py  	# create example.py file
wget https://raw.githubusercontent.com/andrewrgarcia/powerxrd/main/sample1.xy	# download sample1.xy file

example.py:

import powerxrd as xrd
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt


df = pd.read_csv('sample1.xy', sep='\t', header=None)  
x,y = np.array(df).T
x,y = xrd.backsub(x,y)

plt.plot(x,y)
plt.xlabel('2 $\\theta$')
plt.show()

Run the example.py file

alt text

Contributors

Contributing

  1. Fork it (https://github.com/your-github-user/tensorscout/fork)
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create a new Pull Request

Project details


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