8000 Add 'sviewgui' to list of thirdparty packages by SojiroFukuda · Pull Request #15864 · matplotlib/matplotlib · GitHub
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Add 'sviewgui' to list of thirdparty packages #15864

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Merged
merged 12 commits into from
Dec 31, 2019
Binary file added doc/_static/sviewgui_sample.png
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13 changes: 13 additions & 0 deletions doc/thirdpartypackages/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -284,3 +284,16 @@ existing table. See the `blume github repository

.. image:: /_static/blume_table_example.png

GUI applications
****************

sviewgui
========

`sviewgui <https://pypi.org/project/sviewgui/>`_ is a handy PyQt-based GUI for data visualisation. This GUI is based on the matplotlib and you can visualize your csv file in various ways by only one simple method 'buildGUI()'. Here are the main features;
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  • Try to be more to the point in the description. Adjectives like "handy" and "readily" are an opinion and do not add to the information.
  • You can use markup to structure the the text, e.g. bullet points.
  • Wrap the lines at 79 chars, as that's the convention used elsewhere in the file.

I'd recommend something like this:

`sviewgui <https://pypi.org/project/sviewgui/>`_ is a PyQt-based GUI for
visualisation of data from csv files or `pandas.DataFrames`. Main features:

- Scatter, line, density, histgram, and box plot types
- Settings for the marker size, line width, number of bins of histgram,
  color map (from cmocean)
- Save figure as editable PDF
- Code of the plotted graph is available so that it can be reused and modified
  outside of sviewgui

Scatter, line, density, histgram, and box plot for visualisation your csv.
Detail setting for the marker size, line width, number of bins of histgram, color map (from cmocean).
Save figure as editable PDF
Handy code of plotted graph are recorded as text in ‘Log’ tab so that you can readily use its code and modify it after visualization.

.. image:: /_static/sviewgui_sample.png
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