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Update ecosystem.rst (#34221)
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doc/source/ecosystem.rst

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@@ -30,7 +30,7 @@ substantial projects that you feel should be on this list, please let us know.
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Data cleaning and validation
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----------------------------
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`pyjanitor <https://github.com/ericmjl/pyjanitor/>`__
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`Pyjanitor <https://github.com/ericmjl/pyjanitor/>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Pyjanitor provides a clean API for cleaning data, using method chaining.
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web-based charts and maps.
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`seaborn <https://seaborn.pydata.org>`__
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`Seaborn <https://seaborn.pydata.org>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Seaborn is a Python visualization library based on
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Various implementations to other languages are available.
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A good implementation for Python users is `has2k1/plotnine <https://github.com/has2k1/plotnine/>`__.
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`IPython Vega <https://github.com/vega/ipyvega>`__
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`IPython vega <https://github.com/vega/ipyvega>`__
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`IPython Vega <https://github.com/vega/ipyvega>`__ leverages `Vega
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`Plotly’s <https://plot.ly/>`__ `Python API <https://plot.ly/python/>`__ enables interactive figures and web shareability. Maps, 2D, 3D, and live-streaming graphs are rendered with WebGL and `D3.js <https://d3js.org/>`__. The library supports plotting directly from a pandas DataFrame and cloud-based collaboration. Users of `matplotlib, ggplot for Python, and Seaborn <https://plot.ly/python/matplotlib-to-plotly-tutorial/>`__ can convert figures into interactive web-based plots. Plots can be drawn in `IPython Notebooks <https://plot.ly/ipython-notebooks/>`__ , edited with R or MATLAB, modified in a GUI, or embedded in apps and dashboards. Plotly is free for unlimited sharing, and has `cloud <https://plot.ly/product/plans/>`__, `offline <https://plot.ly/python/offline/>`__, or `on-premise <https://plot.ly/product/enterprise/>`__ accounts for private use.
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`QtPandas <https://github.com/draperjames/qtpandas>`__
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`Qtpandas <https://github.com/draperjames/qtpandas>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Spun off from the main pandas library, the `qtpandas <https://github.com/draperjames/qtpandas>`__
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:ref:`Available Options <options.available>`
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for pandas ``display.`` settings.
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`quantopian/qgrid <https://github.com/quantopian/qgrid>`__
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`Quantopian/qgrid <https://github.com/quantopian/qgrid>`__
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qgrid is "an interactive grid for sorting and filtering
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* Stooq Index Data
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* MOEX Data
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`quandl/Python <https://github.com/quandl/Python>`__
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`Quandl/Python <https://github.com/quandl/Python>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Quandl API for Python wraps the Quandl REST API to return
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Pandas DataFrames with timeseries indexes.
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`pydatastream <https://github.com/vfilimonov/pydatastream>`__
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`Pydatastream <https://github.com/vfilimonov/pydatastream>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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PyDatastream is a Python interface to the
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`Refinitiv Datastream (DWS) <https://www.refinitiv.com/en/products/datastream-macroeconomic-analysis>`__
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system. The following libraries implement that interface to provide types not
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found in NumPy or pandas, which work well with pandas' data containers.
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`cyberpandas`_
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`Cyberpandas`_
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~~~~~~~~~~~~~~
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Cyberpandas provides an extension type for storing arrays of IP Addresses. These
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.. _pdvega: https://altair-viz.github.io/pdvega/
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.. _Altair: https://altair-viz.github.io/
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.. _pandas_path: https://github.com/drivendataorg/pandas-path/
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.. _pathlib.Path: https://docs.python.org/3/library/pathlib.html
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.. _pathlib.Path: https://docs.python.org/3/library/pathlib.html

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