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Update geopandas example#4782

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sarthak-12
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Please uncomment this block and take a look at this checklist if your PR is making substantial changes todocumentation/impacts files in thedoc directory. Check all that apply to your PR, and leave the rest unchecked to discuss with your reviewer! Not all boxes must be checked for every PR :)

If your PR modifies code of theplotly package, we have a different checklist
below :-).

Documentation PR

  • I'veseen thedoc/README.md file
  • This change runs in the current version of Plotly on PyPI and targets thedoc-prod branch OR it targets themaster branch
  • If this PR modifies the first example in a page or adds a new one, it is apx 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 countand 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 fromhttps://plotly.github.io/datasets and added tohttps://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 areplotly.graph_objects as go /plotly.express as px /plotly.io as pio
  • Data frames are always calleddf
  • fig = <something> call is high up in each new/modified example (eitherpx.<something> ormake_subplots orgo.Figure)
  • Liberal use is made offig.add_* andfig.update_* rather thango.Figure(data=..., layout=...) in every new/modified example
  • Specific adders and updaters likefig.add_shape andfig.update_xaxes are used instead of bigfig.update_layout calls in every new/modified example
  • fig.show() is at the end of each new/modified example
  • plotly.plot() andplotly.iplot() are not used in any new/modified example
  • Hex codes for colors are not used in any new/modified example in favour ofthese nice ones

Code PR

  • I have read through thecontributing notes and understand the structure of the package. In particular, if my PR modifies code ofplotly.graph_objects, my modifications concern thecodegen files and not generated files.
  • I have added tests (if submitting a new feature or correcting a bug) or
    modified existing tests.
  • For a new feature, I have added documentation examples in an existing or
    new tutorial notebook (please see the doc checklist as well).
  • I have added a CHANGELOG entry if fixing/changing/adding anything substantial.
  • For a new feature or a change in behaviour, I have updated the relevant docstrings in the code to describe the feature or behaviour (please see the doc checklist as well).

Notes:

  • The example does not involve random data or new datasets, so those checklist items are not applicable.
  • Usedprojection="natural earth" to avoid the need for a Mapbox access token.

Testing:

  • Tested with GeoPandas 0.9.0 (pre-1.0) and GeoPandas 1.9.0.
  • The example runs successfully in both environments.

Related Issues:


Let me know if there are any questions or if further changes are needed.

@gvwilsongvwilson added P3backlog communitycommunity contribution fixfixes something broken labelsOct 8, 2024
@LiamConnors
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Thanks@sarthak-12 for the PR!

geodatasets might work for both versions. If so, we could get rid of the if/else

But we also may need to look at the datasets available ongeodatasets and see if they are accessible in the same way.

df = gpd.read_file(geodatasets.get_path('naturalearth_cities'))

returns the following for me

 raise ValueError(f"No matching item found for the query '{name}'.")ValueError: No matching item found for the query 'naturalearth_cities'

@rl-utility-man
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It looks like the geopandas team simultaneously separated data sets into a separate projectand removed the cities data set from their example library

The data appear to be available here:https://www.naturalearthdata.com/downloads/110m-cultural-vectors/
specifically, I think, here: http//www.naturalearthdata.com/download/110m/cultural/ne_110m_populated_places_simple.zip

if this code needs a file inside that zip, would you want it committed to the plotly data repo?

@LiamConnors
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It looks like the geopandas team simultaneously separated data sets into a separate projectand removed the cities data set from their example library

The data appear to be available here:https://www.naturalearthdata.com/downloads/110m-cultural-vectors/ specifically, I think, here: http//www.naturalearthdata.com/download/110m/cultural/ne_110m_populated_places_simple.zip

if this code needs a file inside that zip, would you want it committed to the plotly data repo?

Thanks@rl-utility-man

I think we could avoid committing the zip file. It looks like something like this would just work:

geo_df = gpd.read_file("https://naciscdn.org/naturalearth/110m/cultural/ne_110m_populated_places_simple.zip")

What do you think?

@rl-utility-man
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rl-utility-man commentedJul 9, 2025
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if gpd.read_file() just works on a ZIP, I like this solution. If we'd have to clutter the codebase with downloading and unzipping and need to deal with potential differences in the local file system, then perhaps putting a small geopandas point data set in the data repo would be cleaner. I feel no deep expertise or strong opinions here; I just hoped my prior comment would provide some context to move this toward a resolution.

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@archmojarchmojAwaiting requested review from archmoj

@LiamConnorsLiamConnorsAwaiting requested review from LiamConnors

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Dataset used in example on scatter plots page is removed in geopandas 1.0
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