Metadata-Version: 2.1
Name: powerxrd
Version: 0.0.8
Summary: Simple tools to handle powder XRD (and XRD) data with Python
Home-page: https://github.com/andrewrgarcia/powerxrd
Author: Andrew Garcia, PhD
License: MIT
Description: # powerxrd
        Simple tools to handle powder XRD (and XRD) data
        
        
        
        ## Installation
        
        ```ruby
        pip install powerxrd
        ```
        ## Usage Example
        
        ```ruby
        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 $\\theta$')
        ```
        ![alt text](https://github.com/andrewrgarcia/powerxrd/blob/main/img/readme.png?raw=true)
        
        ## Contributors
        
        - [Andrew Garcia](https://github.com/andrewrgarcia) - 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
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
