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        "author_email": "pierre.sassoulas@gmail.com",
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            "License :: OSI Approved :: GNU Affero General Public License v3",
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            "Programming Language :: Python :: 3.6",
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        "description": "# pySankey\n\nUses matplotlib to create simple <a href=\"https://en.wikipedia.org/wiki/Sankey_diagram\">\nSankey diagrams</a> flowing only from left to right.\n\n[![PyPI version](https://badge.fury.io/py/pySankeyBeta.svg)](https://badge.fury.io/py/pySankeyBeta)\n[![Build Status](https://travis-ci.org/Pierre-Sassoulas/pySankey.svg?branch=master)](https://travis-ci.org/Pierre-Sassoulas/pySankey)\n[![Coverage Status](https://coveralls.io/repos/github/Pierre-Sassoulas/pySankey/badge.svg?branch=master)](https://coveralls.io/github/Pierre-Sassoulas/pySankey?branch=master)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n\n## Requirements\n\nRequires python-tk (for python 2.7) or python3-tk (for python 3.x) you can\ninstall the other requirements with:\n\n``` bash\n    pip install -r requirements.txt\n```\n\n## Example\n\nWith fruits.txt :\n\n<div>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>true</th>\n      <th>predicted</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>blueberry</td>\n      <td>orange</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>lime</td>\n      <td>orange</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>blueberry</td>\n      <td>lime</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>apple</td>\n      <td>orange</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>996</th>\n      <td>lime</td>\n      <td>orange</td>\n    </tr>\n    <tr>\n      <th>997</th>\n      <td>blueberry</td>\n      <td>orange</td>\n    </tr>\n    <tr>\n      <th>998</th>\n      <td>orange</td>\n      <td>banana</td>\n    </tr>\n    <tr>\n      <th>999</th>\n      <td>apple</td>\n      <td>lime</td>\n    </tr>\n  </tbody>\n</table>\n<p>1000 rows \u00d7 2 columns</p>\n</div>\n\nYou can generate a sankey's diagram with this code:\n\n```python\nimport pandas as pd\nfrom pysankey import sankey\n\npd.options.display.max_rows = 8\ndf = pd.read_csv(\n    'pysankey/fruits.txt', sep=' ', names=['true', 'predicted']\n)\ncolorDict = {\n    'apple':'#f71b1b',\n    'blueberry':'#1b7ef7',\n    'banana':'#f3f71b',\n    'lime':'#12e23f',\n    'orange':'#f78c1b',\n    'kiwi':'#9BD937'\n}\nsankey(\n    df['true'], df['predicted'], aspect=20, colorDict=colorDict,\n    leftLabels=['banana','orange','blueberry','apple','lime'],\n    rightLabels=['orange','banana','blueberry','apple','lime','kiwi'],\n    fontsize=12, figureName=\"fruit\"\n)\n# Result is in \"fruit.png\"\n```\n\n![Fruity Alchemy](pysankey/fruit.png)\n\nYou could also use weight:\n\n```\n,customer,good,revenue\n0,John,fruit,5.5\n1,Mike,meat,11.0\n2,Betty,drinks,7.0\n3,Ben,fruit,4.0\n4,Betty,bread,2.0\n5,John,bread,2.5\n6,John,drinks,8.0\n7,Ben,bread,2.0\n8,Mike,bread,3.5\n9,John,meat,13.0\n```\n\n```python\nimport pandas as pd\nfrom pysankey import sankey\n\ndf = pd.read_csv(\n    'pysankey/customers-goods.csv', sep=',',\n    names=['id', 'customer', 'good', 'revenue']\n)\nweight = df['revenue'].values[1:].astype(float)\nsankey(\n    left=df['customer'].values[1:], right=df['good'].values[1:],\n    rightWeight=weight, leftWeight=weight, aspect=20, fontsize=20,\n    figureName=\"customer-good\"\n)\n# Result is in \"customer-good.png\"\n```\n\n![Customer goods](pysankey/customers-goods.png)\n\n## Package development\n\n### Lint\n\n\tpylint pysankey\n\n### Testing\n\n\tpython -m unittest\n\n### Coverage\n\n\tcoverage run -m unittest\n\tcoverage html\n\t# Open htmlcov/index.html in a navigator",
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