CRSError: The WKT could not be parsed. OGR Error code 6

Code outputs 'CRSError: The WKT could not be parsed. OGR Error code 6' when trying to use add_basemap

# Snippet
ax = boundary_map.plot(color="lightgrey", ax=ax)
if background:
    cx.add_basemap(ax, crs=boundary_map.crs.to_string())

boundary_map is in reference to this .geojson

Checking the crs outputs the following:

boundary_map.crs()

<Geographic 2D CRS: EPSG:4326>
Name: WGS 84
Axis Info [ellipsoidal]:
- Lat[north]: Geodetic latitude (degree)
- Lon[east]: Geodetic longitude (degree)
Area of Use:
- name: World.
- bounds: (-180.0, -90.0, 180.0, 90.0)
Datum: World Geodetic System 1984 ensemble
- Ellipsoid: WGS 84
- Prime Meridian: Greenwich

I'm working with a large dataset so warping the basemap tiles would be preferred.

I've been following these guides:

This is also on a recent install of contextily 1.6.2

Here is the traceback in full:

CPLE_BaseError                            Traceback (most recent call last)
File rasterio\\crs.pyx:779, in rasterio.crs.CRS.from_user_input()

File rasterio\\_err.pyx:303, in rasterio._err.exc_wrap_ogrerr()

CPLE_BaseError: OGR Error code 6

During handling of the above exception, another exception occurred:

CRSError                                  Traceback (most recent call last)
Cell In[134], line 1
----> 1 facet_geoscatter(et_seasonal, boundary_map=keco_geo, col='season', hue='skill_score', palette='Spectral', size='markersize',
      2                  as_percent=False, normalize_cmap=True, export_img="et_spatial_skill_score", 
      3                  col_order=['Winter', 'Spring', 'Summer'], title_template={"template":"{col_name}"},
      4                  title="Average ET Skill Score across Kern County by Season", background=True)

Cell In[133], line 10, in facet_geoscatter(data, boundary_map, col, row, hue, palette, size, title, export_img, height, aspect, double_legend, row_order, col_order, title_template, as_percent, normalize_cmap, background)
      8     ax = boundary_map.plot(color="lightgrey", ax=ax)
      9     if background:
---> 10         cx.add_basemap(ax, crs=boundary_map.crs.to_string())
     12 norm = None
     14 if normalize_cmap:

File ~\.conda\envs\python311\Lib\site-packages\contextily\plotting.py:130, in add_basemap(ax, zoom, source, interpolation, attribution, attribution_size, reset_extent, crs, resampling, zoom_adjust, **extra_imshow_args)
    128 # Convert extent from `crs` into WM for tile query
    129 if crs is not None:
--> 130     left, right, bottom, top = _reproj_bb(
    131         left, right, bottom, top, crs, "epsg:3857"
    132     )
    133 # Download image
    134 image, extent = bounds2img(
    135     left,
    136     bottom,
   (...)
    142     zoom_adjust=zoom_adjust,
    143 )

File ~\.conda\envs\python311\Lib\site-packages\contextily\plotting.py:231, in _reproj_bb(left, right, bottom, top, s_crs, t_crs)
    230 def _reproj_bb(left, right, bottom, top, s_crs, t_crs):
--> 231     n_l, n_b, n_r, n_t = transform_bounds(s_crs, t_crs, left, bottom, right, top)
    232     return n_l, n_r, n_b, n_t

File ~\.conda\envs\python311\Lib\site-packages\rasterio\warp.py:147, in transform_bounds(src_crs, dst_crs, left, bottom, right, top, densify_pts)
    113 def transform_bounds(
    114         src_crs,
    115         dst_crs,
   (...)
    119         top,
    120         densify_pts=21):
    121     """Transform bounds from src_crs to dst_crs.
    122 
    123     Optionally densifying the edges (to account for nonlinear transformations
   (...)
    145         Outermost coordinates in target coordinate reference system.
    146     """
--> 147     src_crs = CRS.from_user_input(src_crs)
    148     dst_crs = CRS.from_user_input(dst_crs)
    149     return _transform_bounds(
    150         src_crs,
    151         dst_crs,
   (...)
    156         densify_pts,
    157     )

File rasterio\\crs.pyx:781, in rasterio.crs.CRS.from_user_input()

CRSError: The WKT could not be parsed. OGR Error code 6

geopandas / contextily

CRSError: The WKT could not be parsed. OGR Error code 6 #255