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Aug 9, 2022
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DOC: Plotting / Visualization without Jupyter #47948

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Update visualization.rst
tpackard1 Aug 3, 2022
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Update doc/source/user_guide/visualization.rst
MarcoGorelli Aug 3, 2022
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MarcoGorelli Aug 4, 2022
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MarcoGorelli Aug 4, 2022
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5 changes: 5 additions & 0 deletions doc/source/user_guide/visualization.rst
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Chart visualization
*******************


.. note::

The examples below assume that you're using `Jupyter <https://jupyter.org/>`_.

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@nwoodweb nwoodweb Aug 6, 2022 •
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Suggested change
If one is implementing a script or is executing the Python interpreter
from a command line interface, one may opt for ``plt.savefig('$filename')``
in lieu of the ``$object.plot()`` functions found in this tutorial.
``plt.savefig()`` saves the pandas object as an image and accepts a variety
of filetypes, including png, pdf, jpg, and svg.

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This isn't quite right, there's a button to press to suggest changes, check the article I linked (step 6)

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IMO I don't think this note is entirely necessary. Since the rest of the documentation mentions using the matplotlib API, I think further matplotlib actions can be independently looked-up by the user.

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@MarcoGorelli MarcoGorelli Aug 9, 2022 •
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That's a good point - let's keep as-is then and land this

This section demonstrates visualization through charting. For information on
visualization of tabular data please see the section on `Table Visualization <style.ipynb>`_.

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