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[ENH] update Link
Use a more recent link to the matplotlib parts of figure example
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content/data-visualization.md

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@@ -268,7 +268,7 @@ calls.
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figures one day before submission deadline or regenerate a set of figures
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after the person who created them left the group.
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- Matplotlib and also all the other libraries allow to customize almost every aspect of a plot.
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- It is useful to study [Matplotlib parts of a figure](https://matplotlib.org/faq/usage_faq.html#parts-of-a-figure)
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- It is useful to study [Matplotlib parts of a figure](https://matplotlib.org/stable/tutorials/introductory/quick_start.html#parts-of-a-figure)
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so that we know what to search for to customize things.
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- Matplotlib cheatsheets: <https://github.com/matplotlib/cheatsheets>
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- You can also select among pre-defined themes/

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