powerxrd 0.0.8

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

powerxrd

Simple tools to handle powder XRD (and XRD) data

Installation

pip install powerxrd

Usage Example

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


df = pd.read_csv('/your-path-to-powerxrd/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 $\\theta$')

Contributors

• Andrew Garcia - creator and maintainer

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