Make small formatting changes

Author: LiamConnors

doc/python/axes.md

@@ -619,7 +619,7 @@ fig.update_yaxes(zeroline=True, zerolinewidth=2, zerolinecolor='LightPink')
 fig.show()
 ```
 
-##### Controlling zero line layer
+##### Controlling Zero Line Layer
 
 *New in 6.3*
 

doc/python/legend.md

@@ -258,20 +258,20 @@ fig.show()
 
 *New in 6.3*
 
-By default, a legend can expand to fill up to half of the layout area height for a horizontal legend and the full height for a vertical legend. You can specify the maximum height of a legend with the `maxheight` parameter. In the following plot with many legend items, we set `maxheight` to a ratio of 0.10, giving the plot more space.
+By default, a legend can expand to fill up to half of the layout area height for a horizontal legend and the full height for a vertical legend. You can change this by specifying a `maxheight` for the legend. In the following plot with many legend items, we set `maxheight` to a ratio of 0.10, giving the plot more space.
 
 ```python
 import plotly.express as px
 from plotly import data
 
 df = data.gapminder().query("year==2007 and continent == 'Europe'")
 
-fig = px.scatter(df, 
-                 x="gdpPercap", 
-                 y="lifeExp", 
+fig = px.scatter(df,
+                 x="gdpPercap",
+                 y="lifeExp",
                  color="country",
-                 size="pop", 
-                 size_max=45, 
+                 size="pop",
+                 size_max=45,
                  title="Life Expectancy vs. GDP per Capita in 2007 (by Country)",
                  labels={"gdpPercap": "GDP per Capita"},
                 )

doc/python/log-plot.md

@@ -88,16 +88,26 @@ 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", 
     hover_name="country",
-    log_x=True, range_x=[1,100000], range_y=[0,100])
-
-fig.update_xaxes(minor=dict(ticks="inside", ticklen=6, showgrid=True),
-                 minorloglabels="complete")
+    log_x=True, 
+    range_x=[1,100000], 
+    range_y=[0,100]
+)
+
+fig.update_xaxes(
+    minor=dict(
+        ticks="inside", 
+        ticklen=6, 
+        showgrid=True
+    ),
+    minorloglabels="complete"
+)
 
 fig.show()
 ```