From 5759d76e9531f1f36da2fd2bdb891190996014b3 Mon Sep 17 00:00:00 2001
From: Andrew Schonfeld <andrew.schonfeld1@gmail.com>
Date: Tue, 26 May 2020 17:58:53 -0400
Subject: [PATCH 1/2] DOC: GH34376 added D-Tale to the visualizations section
 of Pandas Ecosystem doc

---
 doc/source/ecosystem.rst | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
index 6c6a7f42d4b7e..aab970ad10a50 100644
--- a/doc/source/ecosystem.rst
+++ b/doc/source/ecosystem.rst
@@ -153,6 +153,11 @@ A good implementation for Python users is `has2k1/plotnine <https://github.com/h
 Spun off from the main pandas library, the `qtpandas <https://github.com/draperjames/qtpandas>`__
 library enables DataFrame visualization and manipulation in PyQt4 and PySide applications.
 
+`D-Tale <https://github.com/man-group/dtale>`__
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+D-Tale is the combination of a Flask back-end and React front-end to bring you an easy way to view, edit & analyze Pandas data structures. Also, includes a fully-featured chart builder by way of Plotly Dash. It integrates seamlessly with jupyter notebooks, python terminals, kaggle & Google Colab. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. A nice demo is located `here <http://alphatechadmin.pythonanywhere.com/>`__.
+
 
 .. _ecosystem.ide:
 

From 2a64ded3e20e3dc608bc2e811dec71d588c72e25 Mon Sep 17 00:00:00 2001
From: Andrew Schonfeld <andrew.schonfeld1@gmail.com>
Date: Wed, 27 May 2020 07:06:11 -0400
Subject: [PATCH 2/2] DOC GH34376 styling fixes and reworked description from
 prior commit

---
 doc/source/ecosystem.rst | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst
index aab970ad10a50..62065f016e438 100644
--- a/doc/source/ecosystem.rst
+++ b/doc/source/ecosystem.rst
@@ -154,10 +154,22 @@ Spun off from the main pandas library, the `qtpandas <https://github.com/draperj
 library enables DataFrame visualization and manipulation in PyQt4 and PySide applications.
 
 `D-Tale <https://github.com/man-group/dtale>`__
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+D-Tale is a lightweight web client for visualizing pandas data structures. It
+provides a rich spreadsheet-style grid which acts as a wrapper for a lot of
+pandas functionality (query, sort, describe, corr...) so users can quickly
+manipulate their data. There is also an interactive chart-builder using Plotly
+Dash allowing users to build nice portable visualizations. D-Tale can be
+invoked with the following command
+
+.. code:: python
 
-D-Tale is the combination of a Flask back-end and React front-end to bring you an easy way to view, edit & analyze Pandas data structures. Also, includes a fully-featured chart builder by way of Plotly Dash. It integrates seamlessly with jupyter notebooks, python terminals, kaggle & Google Colab. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. A nice demo is located `here <http://alphatechadmin.pythonanywhere.com/>`__.
+    import dtale; dtale.show(df)
 
+D-Tale integrates seamlessly with jupyter notebooks, python terminals, kaggle
+& Google Colab. Here are some demos of the `grid <http://alphatechadmin.pythonanywhere.com/>`__
+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>`__.
 
 .. _ecosystem.ide: