Render close_map() output as HTML in the docs build and map both commutes in the home search.

Author: Nathaniel Henry

docs/getting_started.md

@@ -16,6 +16,10 @@ A short tour of the client. The tutorials go further.
 :tags: [remove-cell]
 import os
 from closecity import Client, close_map
+import plotly.io as pio
+
+# Emit self-contained HTML for each map so myst-nb renders it in the docs build.
+pio.renderers.default = "notebook_connected"
 close = Client(os.environ.get("CLOSECITY_KEY"))
 ```
 

docs/tutorials/amenity_basket.md

@@ -23,6 +23,10 @@ here applied to Richmond, Virginia.
 :tags: [remove-cell]
 import os
 from closecity import Client, close_map
+import plotly.io as pio
+
+# Emit self-contained HTML for each map so myst-nb renders it in the docs build.
+pio.renderers.default = "notebook_connected"
 close = Client(os.environ.get("CLOSECITY_KEY"))
 ```
 

docs/tutorials/competitor_walksheds.md

@@ -21,6 +21,10 @@ city is Providence, Rhode Island.
 :tags: [remove-cell]
 import os
 from closecity import Client, close_map
+import plotly.io as pio
+
+# Emit self-contained HTML for each map so myst-nb renders it in the docs build.
+pio.renderers.default = "notebook_connected"
 close = Client(os.environ.get("CLOSECITY_KEY"))
 ```
 

docs/tutorials/first_map.md

@@ -20,6 +20,10 @@ city is Providence, Rhode Island.
 :tags: [remove-cell]
 import os
 from closecity import Client, close_map
+import plotly.io as pio
+
+# Emit self-contained HTML for each map so myst-nb renders it in the docs build.
+pio.renderers.default = "notebook_connected"
 close = Client(os.environ.get("CLOSECITY_KEY"))
 ```
 

docs/tutorials/home_search.md

@@ -24,6 +24,10 @@ import os
 import pandas as pd
 import geopandas as gpd
 from closecity import Client, close_map
+import plotly.io as pio
+
+# Emit self-contained HTML for each map so myst-nb renders it in the docs build.
+pio.renderers.default = "notebook_connected"
 close = Client(os.environ.get("CLOSECITY_KEY"))
 ```
 
@@ -124,6 +128,10 @@ work_b = close.isochrone(lon = -71.0589, lat = 42.3555, mode = "transit",
 close_map(work_a, color = "#058040")
 ```
 
+```{code-cell} python
+close_map(work_b, color = "#f36e21")
+```
+
 Keep the qualifying blocks that also sit inside both commutes. That short list is
 where to look.