Metadata-Version: 2.1
Name: Extended-BoxPlots
Version: 0.3.0
Summary: Generator of extended box plots
Home-page: https://github.com/dmey/extended-boxplots
Author: dmey
Author-email: dmey@users.noreply.github.com
License: MIT
Description: # Extended BoxPlots
        
        Extended box plot are customizable box plots drawn for a set of percentile pairs (c.f. p. 31 in [Harrell Jr (2014)][1]).
        
        
        ## Usage
        
        ```py
        import numpy as np
        import matplotlib.pyplot as plt
        
        from extended_boxplots import compute_extended_boxplot_stats, plot_extended_boxplot
        
        # Create sample normal distribution
        dist_norm = np.random.normal(100, 30, 100000)
        
        # Compute extended box plot statistics
        boxplot_stats = compute_extended_boxplot_stats(dist_norm)
        
        # Plot the extended box plot
        fig, ax = plt.subplots()
        plot_extended_boxplot(ax, [boxplot_stats])
        fig.savefig('extended_boxplot.svg', dpi=200)
        ```
        
        ![Example extended box plot](https://raw.githubusercontent.com/dmey/extended-boxplots/master/images/extended_boxplot.png)
        
        ## Versioning
        
        This project uses [semantic versioning](https://semver.org/).
        
        
        ## Copyright and licence
        
        Copyright 2018 D. Meyer. Licensed under [MIT](https://github.com/dmey/extended-boxplots/blob/master/LICENSE.txt).
        
        
        [1]: http://biostat.mc.vanderbilt.edu/wiki/pub/Main/StatGraphCourse/graphscourse.pdf
Keywords: graph,plottings,statistics
Platform: Windows
Platform: Linux
Platform: Solaris
Platform: Mac OS-X
Platform: Unix
Requires-Python: >=3.5
Description-Content-Type: text/markdown
