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
Contributors
- Andrew Garcia - creator and maintainer
Contributing
- Fork it (https://github.com/your-github-user/tensorscout/fork)
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
Project details
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Source Distribution
powerxrd-1.0.0.tar.gz
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