sdata.pl.render_shapes/render_labels how to define the cell color based on cell type annotation #374

sdata.pl.render_shapes(
    "cell_circles", color='leiden'
).pl.show(title=f"cell types", coordinate_systems="global", figsize=(6, 6))

[/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/spatialdata_plot/pl/utils.py:772](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/spatialdata_plot/pl/utils.py#line=771): FutureWarning: The default value of 'ignore' for the `na_action` parameter in pandas.Categorical.map is deprecated and will be changed to 'None' in a future version. Please set na_action to the desired value to avoid seeing this warning
  color_vector = color_source_vector.map(color_mapping)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[60], line 1
----> 1 sdata.pl.render_shapes(
      2     "cell_circles", color='leiden'
      3 ).pl.show(title=f"cell types", coordinate_systems="global", figsize=(6, 6))

File [/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/spatialdata_plot/pl/basic.py:903](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/spatialdata_plot/pl/basic.py#line=902), in PlotAccessor.show(self, coordinate_systems, legend_fontsize, legend_fontweight, legend_loc, legend_fontoutline, na_in_legend, colorbar, wspace, hspace, ncols, frameon, figsize, dpi, fig, title, share_extent, pad_extent, ax, return_ax, save)
    898     wanted_elements, wanted_shapes_on_this_cs, wants_shapes = _get_wanted_render_elements(
    899         sdata, wanted_elements, params_copy, cs, "shapes"
    900     )
    902     if wanted_shapes_on_this_cs:
--> 903         _render_shapes(
    904             sdata=sdata,
    905             render_params=params_copy,
    906             coordinate_system=cs,
    907             ax=ax,
    908             fig_params=fig_params,
    909             scalebar_params=scalebar_params,
    910             legend_params=legend_params,
    911         )
    913 elif cmd == "render_points" and has_points:
    914     wanted_elements, wanted_points_on_this_cs, wants_points = _get_wanted_render_elements(
    915         sdata, wanted_elements, params_copy, cs, "points"
    916     )

File [/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/spatialdata_plot/pl/render.py:191](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/spatialdata_plot/pl/render.py#line=190), in _render_shapes(sdata, render_params, coordinate_system, ax, fig_params, scalebar_params, legend_params)
    189 # in case we are coloring by a column in table
    190 if col_for_color is not None and col_for_color not in sdata_filt.shapes[element].columns:
--> 191     sdata_filt.shapes[element][col_for_color] = (
    192         color_vector if color_source_vector is None else color_source_vector
    193     )
    194 # Render shapes with datashader
    195 color_by_categorical = col_for_color is not None and color_source_vector is not None

File [/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/geopandas/geodataframe.py:1819](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/geopandas/geodataframe.py#line=1818), in GeoDataFrame.__setitem__(self, key, value)
   1814     except TypeError:
   1815         warnings.warn(
   1816             "Geometry column does not contain geometry.",
   1817             stacklevel=2,
   1818         )
-> 1819 super().__setitem__(key, value)

File [/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/frame.py:4299](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/frame.py#line=4298), in DataFrame.__setitem__(self, key, value)
   4296     self._setitem_array([key], value)
   4297 else:
   4298     # set column
-> 4299     self._set_item(key, value)

File [/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/frame.py:4512](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/frame.py#line=4511), in DataFrame._set_item(self, key, value)
   4502 def _set_item(self, key, value) -> None:
   4503     """
   4504     Add series to DataFrame in specified column.
   4505 
   (...)
   4510     ensure homogeneity.
   4511     """
-> 4512     value, refs = self._sanitize_column(value)
   4514     if (
   4515         key in self.columns
   4516         and value.ndim == 1
   4517         and not isinstance(value.dtype, ExtensionDtype)
   4518     ):
   4519         # broadcast across multiple columns if necessary
   4520         if not self.columns.is_unique or isinstance(self.columns, MultiIndex):

File [/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/frame.py:5253](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/frame.py#line=5252), in DataFrame._sanitize_column(self, value)
   5250     return _reindex_for_setitem(value, self.index)
   5252 if is_list_like(value):
-> 5253     com.require_length_match(value, self.index)
   5254 arr = sanitize_array(value, self.index, copy=True, allow_2d=True)
   5255 if (
   5256     isinstance(value, Index)
   5257     and value.dtype == "object"
   (...)
   5260     # TODO: Remove kludge in sanitize_array for string mode when enforcing
   5261     # this deprecation

File [/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/common.py:571](https://ondemand.carc.usc.edu/project/sli68423_1316/users/yang/conda/envs/py39/lib/python3.9/site-packages/pandas/core/common.py#line=570), in require_length_match(data, index)
    567 """
    568 Check the length of data matches the length of the index.
    569 """
    570 if len(data) != len(index):
--> 571     raise ValueError(
    572         "Length of values "
    573         f"({len(data)}) "
    574         "does not match length of index "
    575         f"({len(index)})"
    576     )

ValueError: Length of values (154472) does not match length of index (162254)