@@ -46,7 +46,7 @@ import plotly.express as px
4646px.set_mapbox_access_token(open (" .mapbox_token" ).read())
4747df = px.data.carshare()
4848
49- fig = ff.create_hexbin_mapbox (
49+ fig = ff.create_hexbin_map (
5050 data_frame = df, lat = " centroid_lat" , lon = " centroid_lon" ,
5151 nx_hexagon = 10 , opacity = 0.9 , labels = {" color" : " Point Count" },
5252)
@@ -63,7 +63,7 @@ import plotly.express as px
6363px.set_mapbox_access_token(open (" .mapbox_token" ).read())
6464df = px.data.carshare()
6565
66- fig = ff.create_hexbin_mapbox (
66+ fig = ff.create_hexbin_map (
6767 data_frame = df, lat = " centroid_lat" , lon = " centroid_lon" ,
6868 nx_hexagon = 10 , opacity = 0.5 , labels = {" color" : " Point Count" },
6969 min_count = 1 ,
@@ -80,7 +80,7 @@ import plotly.express as px
8080px.set_mapbox_access_token(open (" .mapbox_token" ).read())
8181df = px.data.carshare()
8282
83- fig = ff.create_hexbin_mapbox (
83+ fig = ff.create_hexbin_map (
8484 data_frame = df, lat = " centroid_lat" , lon = " centroid_lon" ,
8585 nx_hexagon = 10 , opacity = 0.5 , labels = {" color" : " Point Count" },
8686 min_count = 1 , color_continuous_scale = " Viridis" ,
@@ -100,7 +100,7 @@ import numpy as np
100100px.set_mapbox_access_token(open (" .mapbox_token" ).read())
101101df = px.data.carshare()
102102
103- fig = ff.create_hexbin_mapbox (
103+ fig = ff.create_hexbin_map (
104104 data_frame = df, lat = " centroid_lat" , lon = " centroid_lon" ,
105105 nx_hexagon = 10 , opacity = 0.9 , labels = {" color" : " Average Peak Hour" },
106106 color = " peak_hour" , agg_func = np.mean, color_continuous_scale = " Icefire" , range_color = [0 ,23 ]
@@ -118,7 +118,7 @@ import numpy as np
118118px.set_mapbox_access_token(open (" .mapbox_token" ).read())
119119df = px.data.carshare()
120120
121- fig = ff.create_hexbin_mapbox (
121+ fig = ff.create_hexbin_map (
122122 data_frame = df, lat = " centroid_lat" , lon = " centroid_lon" ,
123123 nx_hexagon = 10 , opacity = 0.9 , labels = {" color" : " Summed Car.Hours" },
124124 color = " car_hours" , agg_func = np.sum, color_continuous_scale = " Magma"
@@ -150,7 +150,7 @@ frame = np.concatenate([
150150 np.ones(N, int ) * i for i in range (n_frames)
151151])
152152
153- fig = ff.create_hexbin_mapbox (
153+ fig = ff.create_hexbin_map (
154154 lat = lat, lon = lon, nx_hexagon = 15 , animation_frame = frame,
155155 color_continuous_scale = " Cividis" , labels = {" color" : " Point Count" , " frame" : " Period" },
156156 opacity = 0.5 , min_count = 1 ,
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