@@ -141,11 +141,10 @@ def fit_bounds(self, bounds, padding_top_left=None,
141141 )
142142 )
143143
144- def choropleth (self , geo_data , data_out = 'data.json' ,
145- data = None , columns = None , key_on = None , threshold_scale = None ,
146- fill_color = 'blue' , fill_opacity = 0.6 , line_color = 'black' ,
147- line_weight = 1 , line_opacity = 1 , legend_name = '' ,
148- topojson = None , reset = False , smooth_factor = None ,
144+ def choropleth (self , geo_data , data = None , columns = None , key_on = None ,
145+ threshold_scale = None , fill_color = 'blue' , fill_opacity = 0.6 ,
146+ line_color = 'black' , line_weight = 1 , line_opacity = 1 ,
147+ legend_name = '' , topojson = None , reset = False , smooth_factor = None ,
149148 highlight = None ):
150149 """
151150 Apply a GeoJSON overlay to the map.
@@ -179,8 +178,6 @@ def choropleth(self, geo_data, data_out='data.json',
179178 URL or File path to your GeoJSON data
180179 geo_str: string, default None
181180 String of GeoJSON, alternative to geo_path
182- data_out: string, default 'data.json'
183- Path to write Pandas DataFrame/Series to JSON if binding data
184181 data: Pandas DataFrame or Series, default None
185182 Data to bind to the GeoJSON.
186183 columns: dict or tuple, default None
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