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    "info": {
        "author": "Warren Weckesser",
        "author_email": "",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3"
        ],
        "description": "heatmapcluster\n==============\n\n``heatmapcluster`` is a python library for generating a clustered heatmap\nwith dendrograms plotted along with the heatmap, such as the following:\n\n.. image:: https://raw.githubusercontent.com/WarrenWeckesser/heatmapcluster/master/demo/heatmapcluster_demo.png\n   :alt: Example plot\n   :align: center\n   :scale: 50 %\n\nThis is prototype-quality software.  The documentation is sparse, and the API\nwill likely change.\n\nPlots are generated with matplotlib (http://matplotlib.org/).\nTo use the package, numpy, scipy and matplotlib must be installed.\n\n``setuptools`` is required to install the package using ``setup.py``.\n\nExample\n-------\n\nThis is ``heatmapcluster_demo.py``.  Most of the code is the function ``make_data``,\nwhich generates an array of data for the demonstration.  The main part of the\ndemo is the last three statements of the script.  This script generates the plot\nshown above::\n\n    import numpy as np\n    import matplotlib.pyplot as plt\n    from heatmapcluster import heatmapcluster\n\n\n    def make_data(size, seed=None):\n        if seed is not None:\n            np.random.seed(seed)\n\n        s = np.random.gamma([7, 6, 5], [6, 8, 6], size=(size[1], 3)).T\n        i = np.random.choice(range(len(s)), size=size[0])\n        x = s[i]\n\n        t = np.random.gamma([8, 5, 6], [3, 3, 2.1], size=(size[0], 3)).T\n        j = np.random.choice(range(len(t)), size=size[1])\n\n        x += 1.1*t[j].T\n\n        x += 2*np.random.randn(*size)\n\n        row_labels = [('R%02d' % k) for k in range(x.shape[0])]\n        col_labels = [('C%02d' % k) for k in range(x.shape[1])]\n\n        return x, row_labels, col_labels\n\n\n    x, row_labels, col_labels = make_data(size=(64, 48), seed=123)\n\n    h = heatmapcluster(x, row_labels, col_labels,\n                       num_row_clusters=3, num_col_clusters=0,\n                       label_fontsize=6,\n                       xlabel_rotation=-75,\n                       cmap=plt.cm.coolwarm,\n                       show_colorbar=True,\n                       top_dendrogram=True)\n    plt.show()",
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        "keywords": "heatmap cluster scipy plot",
        "license": "BSD",
        "maintainer": "",
        "maintainer_email": "",
        "name": "heatmapcluster",
        "package_url": "https://pypi.org/project/heatmapcluster/",
        "platform": "UNKNOWN",
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        "requires_dist": [
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            "numpy (>=1.6.0)",
            "scipy"
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        "summary": "Heatmap cluster dendrogram plotter.",
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