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        "author": "Anneya Golob",
        "author_email": "anneyagolob@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "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## 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 sankey\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pandas as pd\n\npd.options.display.max_rows=8\n%matplotlib inline\n\ndf = pd.read_csv('fruits.txt',sep = ' ',names=['true','predicted'])\ncolorDict =  {'apple':'#f71b1b','blueberry':'#1b7ef7','banana':'#f3f71b',\n              'lime':'#12e23f','orange':'#f78c1b'}\nsankey.sankey(df['true'], df['predicted'], aspect=20, colorDict=colorDict,\n              fontsize=1, figure_name=\"fruit\")\n```\n\n![Fruity Alchemy](fruits.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 sankey\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport pandas as pd\npd.options.display.max_rows=8\n%matplotlib inline\ndf = pd.read_csv('customers-goods.csv',sep = ',',names=['id', 'customer','good','revenue'])\n# actual call is left as an exercice to the reader but it could be something like\n#\u00a0sankey.sankey(left=df['customer'], right=df['good'], rightWeight=df['revenue'],\n#               aspect=20, colorDict=colorDict, fontsize=20,\n#               figure_name=\"customer-good\")\n```\n\n![Customer goods](customers-goods.png)\n\n\n",
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