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Copy file name to clipboardExpand all lines: doc/source/ecosystem.rst
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@@ -153,6 +153,23 @@ A good implementation for Python users is `has2k1/plotnine <https://github.com/h
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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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`D-Tale <https://github.com/man-group/dtale>`__
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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D-Tale is a lightweight web client for visualizing pandas data structures. It
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provides a rich spreadsheet-style grid which acts as a wrapper for a lot of
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pandas functionality (query, sort, describe, corr...) so users can quickly
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manipulate their data. There is also an interactive chart-builder using Plotly
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Dash allowing users to build nice portable visualizations. D-Tale can be
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invoked with the following command
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.. code:: python
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import dtale; dtale.show(df)
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D-Tale integrates seamlessly with jupyter notebooks, python terminals, kaggle
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& Google Colab. Here are some demos of the `grid <http://alphatechadmin.pythonanywhere.com/>`__
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and `chart-builder <http://alphatechadmin.pythonanywhere.com/charts/4?chart_type=surface&query=&x=date&z=Col0&agg=raw&cpg=false&y=%5B%22security_id%22%5D>`__.
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