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doc/source/ecosystem.rst

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@@ -93,8 +93,8 @@ targets the IPython Notebook environment.
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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 <http://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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Visualizing Data in Qt applications
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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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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library enables DataFrame visualization and manipulation in PyQt4 and PySide applications.

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