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Fix suplot typo in doc #4447

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merged 1 commit into from
Dec 1, 2023
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mahotd
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@mahotd mahotd commented Nov 30, 2023

Related to #4446 but done in a separate PR as target branches are different.

Documentation PR

  • I've seen the doc/README.md file
  • This change runs in the current version of Plotly on PyPI and targets the doc-prod branch OR it targets the master branch
  • If this PR modifies the first example in a page or adds a new one, it is a px example if at all possible
  • Every new/modified example has a descriptive title and motivating sentence or paragraph
  • Every new/modified example is independently runnable
  • Every new/modified example is optimized for short line count and focuses on the Plotly/visualization-related aspects of the example rather than the computation required to produce the data being visualized
  • Meaningful/relatable datasets are used for all new examples instead of randomly-generated data where possible
  • The random seed is set if using randomly-generated data in new/modified examples
  • New/modified remote datasets are loaded from https://plotly.github.io/datasets and added to https://github.com/plotly/datasets
  • Large computations are avoided in the new/modified examples in favour of loading remote datasets that represent the output of such computations
  • Imports are plotly.graph_objects as go / plotly.express as px / plotly.io as pio
  • Data frames are always called df
  • fig = <something> call is high up in each new/modified example (either px.<something> or make_subplots or go.Figure)
  • Liberal use is made of fig.add_* and fig.update_* rather than go.Figure(data=..., layout=...) in every new/modified example
  • Specific adders and updaters like fig.add_shape and fig.update_xaxes are used instead of big fig.update_layout calls in every new/modified example
  • fig.show() is at the end of each new/modified example
  • plotly.plot() and plotly.iplot() are not used in any new/modified example
  • Hex codes for colors are not used in any new/modified example in favour of these nice ones

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Looks good to me. Thank you

@LiamConnors LiamConnors merged commit c2c9b4b into plotly:doc-prod Dec 1, 2023
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3 participants