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Copy file name to clipboardExpand all lines: doc/python/facet-plots.md
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extension: .md
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format_name: markdown
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format_version: '1.2'
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jupytext_version: 1.3.4
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jupytext_version: 1.4.2
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kernelspec:
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display_name: Python 3
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language: python
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name: python
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nbconvert_exporter: python
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pygments_lexer: ipython3
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version: 3.7.0
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version: 3.7.7
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plotly:
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description: How to make Facet and Trellis Plots in Python with Plotly.
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display_as: statistical
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### Customize Subplot Figure Titles
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Since subplot figure titles are [annotations](https://plotly.com/python/text-and-annotations/#simple-annotation), you can use the `for_each_annotation` function to customize them.
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Since subplot figure titles are [annotations](https://plotly.com/python/text-and-annotations/#simple-annotation), you can use the `for_each_annotation` function to customize them, for example to remove the equal-sign (`=`).
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In the following example, we pass a lambda function to `for_each_annotation` in order to change the figure subplot titles from `smoker=No` and `smoker=Yes` to just `No` and `Yes`.
The `facet_row_spacing` and `facet_col_spacing` arguments can be used to control the spacing between rows and columns. These values are specified in fractions of the plotting area in paper coordinates and not in pixels, so they will grow or shrink with the `width` and `height` of the figure.
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The defaults work well with 1-4 rows or columns at the default figure size with the default font size, but need to be reduced to around 0.01 for very large figures or figures with many rows or columns. Conversely, if activating tick labels on all facets, the spacing will need to be increased.
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