Make small updates

Author: LiamConnors

doc/python/log-plot.md

@@ -84,26 +84,26 @@ fig.show()
 
 *New in 6.3*
 
-By default, minor log labels use small digits, as shown in the previous example. You can control how minor log labels are displayed using the `minorloglabels` attribute. Set to `"complete"` to show complete digits, or `None` for no labels.
+You can control how minor log labels are displayed using the `minorloglabels` attribute. Set to `"complete"` to show complete digits, or `None` for no labels. By default, minor log labels use `"small digits"`, as shown in the previous example.
 
 ```python
 import plotly.express as px
 
 df = px.data.gapminder().query("year == 2007")
 
 fig = px.scatter(
-    df, x="gdpPercap", 
-    y="lifeExp", 
+    df, x="gdpPercap",
+    y="lifeExp",
     hover_name="country",
-    log_x=True, 
-    range_x=[1,100000], 
+    log_x=True,
+    range_x=[1,100000],
     range_y=[0,100]
 )
 
 fig.update_xaxes(
     minor=dict(
-        ticks="inside", 
-        ticklen=6, 
+        ticks="inside",
+        ticklen=6,
         showgrid=True
     ),
     minorloglabels="complete"

doc/python/map-configuration.md

@@ -110,9 +110,9 @@ fig.show()
 
 In addition to physical base map features, a "cultural" base map is included which is composed of country borders and selected sub-country borders such as states.
 
-In **Plotly.py 6.3 and later**, this base map is created from [UN data](https://geoportal.un.org/arcgis/sharing/rest/content/items/d7caaff3ef4b4f7c82689b7c4694ad92/data).
+In **Plotly.py 6.3 and later**, this base map is created from [UN data](https://geoportal.un.org/arcgis/sharing/rest/content/items/d7caaff3ef4b4f7c82689b7c4694ad92/data) for country borders, and Natural Earth data for sub-country borders.
 
-In **earlier versions of Plotly.py**, this base map is based on Natural Earth data. Plotly includes data from Natural Earth "as-is". This dataset draws boundaries of countries according to defacto status. See the [Natural Earth page for more details](https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50m-admin-0-countries-2/).
+In **earlier versions of Plotly.py**, this base map is based only on Natural Earth data. Plotly includes data from Natural Earth "as-is". This dataset draws boundaries of countries according to defacto status. See the [Natural Earth page for more details](https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50m-admin-0-countries-2/).
 
 **To create a map with your own cultural features** please refer to our [choropleth documentation](/python/choropleth-maps/).