feat: plot_numeric_data for plotly_wrapper #395
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Signed-off-by: Max <[email protected]>
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## main #395 +/- ##
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- Coverage 88.15% 87.74% -0.41%
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Files 66 66
Lines 2929 2929
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- Hits 2582 2570 -12
- Misses 347 359 +12
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| regions_gdf: gpd.GeoDataFrame, | ||
| data_column: str, | ||
| data_df: Optional[Union[gpd.GeoDataFrame, pd.DataFrame]] = None, | ||
| colormap: Union[str, List[str]] = px.colors.sequential.Sunsetdark, |
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This colormap, which is the default, throws an error. I suppose that this is because this one is in RGB format so it is not a List[str] but List[Tuple]
ValueError:
Invalid value of type 'builtins.list' received for the 'colorscale' property of make_figure
| width (float, optional): Width of the plot. Defaults to None. | ||
| """ | ||
| regions_gdf_copy = regions_gdf.copy() | ||
| regions_gdf_copy[REGIONS_INDEX] = regions_gdf_copy.index |
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When I pass a geodataframe with regions from our regionalizer I get an error, because we set index name to REGIONS_INDEX. It results in an error on merge, because there is a column and index with the same name in regions_gdf_copy
ValueError: 'region_id' is both an index level and a column label, which is ambiguous.
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