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        "description": "# Extended BoxPlots\n\nExtended box plot are customizable box plots drawn for a set of percentile pairs (c.f. p. 31 in [Harrell Jr (2014)][1]).\n\n\n## Usage\n\n```py\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nfrom extended_boxplots import compute_extended_boxplot_stats, plot_extended_boxplot\n\n# Create sample normal distribution\ndist_norm = np.random.normal(100, 30, 100000)\n\n# Compute extended box plot statistics\nboxplot_stats = compute_extended_boxplot_stats(dist_norm)\n\n# Plot the extended box plot\nfig, ax = plt.subplots()\nplot_extended_boxplot(ax, [boxplot_stats])\nfig.savefig('extended_boxplot.svg', dpi=200)\n```\n\n![Example extended box plot](https://raw.githubusercontent.com/dmey/extended-boxplots/master/images/extended_boxplot.png)\n\n## Versioning\n\nThis project uses [semantic versioning](https://semver.org/).\n\n\n## Copyright and licence\n\nCopyright 2018 D. Meyer. Licensed under [MIT](https://github.com/dmey/extended-boxplots/blob/master/LICENSE.txt).\n\n\n[1]: http://biostat.mc.vanderbilt.edu/wiki/pub/Main/StatGraphCourse/graphscourse.pdf",
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