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"description": "pandas-highcharts\n=================\n\n.. image:: https://travis-ci.org/gtnx/pandas-highcharts.svg?branch=master\n :target: https://travis-ci.org/gtnx/pandas-highcharts\n.. image:: https://coveralls.io/repos/gtnx/pandas-highcharts/badge.svg\n :target: https://coveralls.io/r/gtnx/pandas-highcharts\n\nWhat is it\n----------\n\n**pandas-highcharts** is a Python package which allows you to easily\nbuild `Highcharts plots`_ with `pandas`_.\\ `DataFrame`_ objects.\n\nMotivation\n----------\n\n- pandas is the best tool to handle data in Python\n- pandas is able to produce matplotlib plots. They work pretty well but\n have two major drawbacks\n\n - Not very web friendly\n - Pretty ugly\n\n- Highcharts produce nice, interactive plot in your browser and is very\n complete\n\nFeatures\n--------\n\n- Same interface as DataFrame.plot\n- Following parameters are handled\n\n - data\n - x\n - y\n - kind\n - figsize\n - use\\_index\n - title\n - grid\n - legend\n - style\n - logx\n - logy\n - loglog\n - xticks\n - yticks\n - xlim\n - ylim\n - rot\n - fontsize\n - position\n - stacked\n - sort\\_columns\n - secondary\\_y\n - mark\\_right\n\n- Following parameters are not handled (yet) :\n\n - ax\n - ay\n - subplots\n - sharex\n - sharey\n - layout\n - colormap\n - colorbar\n - layout\n - table\n - yerr\n - xerr\n - kwds\n\n- You can specify those specific highcharts parameters:\n\n - tooltip\n\n- Static files (highcharts.js) are not embedded\n\nInstallation\n------------\n\nInstall the package using pip\n\n.. code:: shell\n\n pip install pandas-highcharts\n\nUsage\n-----\n\nImport it in your views\n\n.. code:: python\n\n import pandas_highcharts\n df = ... # create your dataframe here\n chart = pandas_highcharts.serialize(df, render_to='my-chart', output_type='json')\n\nIn your templates\n\n.. code:: html\n\n \n \n\nContributing\n------------\n\nSee CONTRIBUTING.rst for information on how to contribute to pandas-highcharts.\n\nMore examples\n-------------\n\nSome examples are available on `nbviewer`_.\n\nPlease read the doc for `DataFrame.plot`_.\n\nFor example, with the following dataset:\n\n\n.. code:: python\n\n import pandas as pd\n from pandas_highcharts.core import serialize\n from pandas.compat import StringIO\n dat = \"\"\"ts;A;B;C\n 2015-01-01 00:00:00;27451873;29956800;113\n 2015-01-01 01:00:00;20259882;17906600;76\n 2015-01-01 02:00:00;11592256;12311600;48\n 2015-01-01 03:00:00;11795562;11750100;50\n 2015-01-01 04:00:00;9396718;10203900;43\n 2015-01-01 05:00:00;14902826;14341100;53\"\"\"\n df = pd.read_csv(StringIO(dat), sep=';', index_col='ts', parse_dates='ts')\n\n # Basic line plot\n chart = serialize(df, render_to=\"my-chart\", title=\"My Chart\")\n # Basic column plot\n chart = serialize(df, render_to=\"my-chart\", title=\"Test\", kind=\"bar\")\n # Basic column plot\n chart = serialize(df, render_to=\"my-chart\", title=\"Test\", kind=\"barh\")\n # Plot C on secondary axis\n chart = serialize(df, render_to=\"my-chart\", title=\"Test\", secondary_y = [\"C\"])\n # Plot on a 1000x700 div\n chart = serialize(df, render_to=\"my-chart\", title=\"Test\", figsize = (1000, 700))\n\n.. _Highcharts plots: http://www.highcharts.com/\n.. _pandas: https://github.com/pydata/pandas\n.. _DataFrame: http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.html\n.. _DataFrame.plot: http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.plot.html\n.. _nbviewer: http://nbviewer.ipython.org/github/gtnx/pandas-highcharts/blob/master/example.ipynb",
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