checks geodataframe for crs before conversion

hvplot/converter.py

@@ -2171,7 +2171,7 @@ def _process_tiles_without_geo(self, data, x, y):
             return data, x, y
 
         if is_geodataframe(data):
-            if data.crs is not None:
+            if hasattr(data, 'crs') and data.crs is not None:
                 data = data.to_crs(epsg=3857)
             return data, x, y
         elif not is_lazy_data(data):

hvplot/tests/testgeowithoutgv.py

@@ -7,6 +7,9 @@
 import numpy as np
 import pandas as pd
 import pytest
+import spatialpandas as spd
+
+from hvplot.util import is_geodataframe
 
 try:
     import dask.dataframe as dd
@@ -83,3 +86,20 @@ def test_plot_with_dask(self, simple_df):
         assert isinstance(plot.get(0), hv.Tiles)
         bk_plot = bk_renderer.get_plot(plot)
         assert bk_plot.projection == 'mercator'
+
+    @pytest.mark.skipif(spd is None, reason='spatialpandas not installed')
+    def test_plot_without_crs(self):
+        square = spd.geometry.Polygon([(0.0, 0), (0, 1), (1, 1), (1, 0)])
+        sdf = spd.GeoDataFrame({'geometry': spd.GeoSeries([square, square]), 'name': ['A', 'B']})
+        plot = sdf.hvplot.polygons(tiles=True)
+
+        if hasattr(sdf, 'crs'):
+            del sdf.crs
+
+        assert len(plot) == 2
+        assert is_geodataframe(sdf)
+        assert not hasattr(plot, 'crs')
+        assert isinstance(plot.get(0), hv.Tiles)
+        assert isinstance(plot.get(1), hv.Polygons)
+        bk_plot = bk_renderer.get_plot(plot)
+        assert bk_plot.projection == 'mercator'