Pin shapely version in test requirements

test_requirements/requirements_optional.txt

@@ -10,7 +10,7 @@ ipython
 jupyter
 anywidget
 scipy
-Shapely
+Shapely<2.1
 geopandas
 fiona<=1.9.6;python_version<="3.8"  # fiona>1.9.6 is not compatible with geopandas<1; geopandas>=1 is not compatible with python 3.8
 pyshp

tests/test_optional/test_figure_factory/test_figure_factory.py

@@ -4114,58 +4114,58 @@ def test_full_choropleth(self):
             fig = ff.create_choropleth(fips=fips, values=values, simplify_county=1)
 
             exp_fig_head = (
-                -88.04504299999999, 
-                -88.02916499999999, 
-                -88.02432999999999, 
-                -88.04504299999999, 
-                np_nan(), 
-                -88.209559, 
-                -88.209999, 
-                -88.208733, 
-                -88.209559, 
-                np_nan(), 
-                -88.22465299999999, 
-                -88.22128099999999, 
-                -88.218694, 
-                -88.22465299999999, 
-                np_nan(), 
-                -88.255659, 
-                -88.25782699999999, 
-                -88.25947, 
-                -88.255659, 
-                np_nan(), 
-                -88.327302, 
-                -88.20146799999999, 
-                -88.141143, 
-                -88.124658, 
-                -88.074854, 
-                -88.12493599999999, 
-                -88.10665399999999, 
-                -88.149812, 
-                -88.327302, 
-                np_nan(), 
-                -88.346823, 
-                -88.341235, 
-                -88.33288999999999, 
-                -88.346823, 
-                np_nan(), 
-                -88.473227, 
-                -88.097888, 
-                -88.154617, 
-                -88.20295899999999, 
-                -85.605165, 
-                -85.18440000000001, 
-                -85.12218899999999, 
-                -85.142567, 
-                -85.113329, 
-                -85.10533699999999, 
-                -84.96302999999999, 
-                -85.007103, 
-                -84.88907999999999, 
-                -85.061144, 
-                -85.04930999999999
+                -88.053375,
+                -88.02916499999999,
+                -88.02432999999999,
+                -88.04504299999999,
+                -88.053375,
+                np_nan(),
+                -88.211209,
+                -88.209999,
+                -88.208733,
+                -88.209559,
+                -88.211209,
+                np_nan(),
+                -88.22511999999999,
+                -88.22128099999999,
+                -88.218694,
+                -88.22465299999999,
+                -88.22511999999999,
+                np_nan(),
+                -88.264659,
+                -88.25782699999999,
+                -88.25947,
+                -88.255659,
+                -88.264659,
+                np_nan(),
+                -88.327302,
+                -88.20146799999999,
+                -88.141143,
+                -88.124658,
+                -88.074854,
+                -88.12493599999999,
+                -88.10665399999999,
+                -88.149812,
+                -88.327302,
+                np_nan(),
+                -88.346745,
+                -88.341235,
+                -88.33288999999999,
+                -88.346823,
+                -88.346745,
+                np_nan(),
+                -88.473227,
+                -88.097888,
+                -88.154617,
+                -88.20295899999999,
+                -85.605165,
+                -85.18440000000001,
+                -85.12218899999999,
+                -85.142567,
+                -85.113329,
+                -85.10533699999999,
             )
-        
+
             self.assertEqual(fig["data"][2]["x"][:50], exp_fig_head)