removing odd non-breaking-spaces from headers

Author: nicolaskruchten

doc/python/3d-axes.md

@@ -141,7 +141,7 @@ fig.show()
 import plotly.graph_objects as go
 import numpy as np
 
-# Define random surface
+# Define random surface
 N = 50
 fig = go.Figure(data=[go.Mesh3d(x=(60*np.random.randn(N)),
                    y=(25*np.random.randn(N)),
@@ -150,7 +150,7 @@ fig = go.Figure(data=[go.Mesh3d(x=(60*np.random.randn(N)),
                    color='rgba(100,22,200,0.5)'
                   )])
 
-# Different types of customized ticks
+# Different types of customized ticks
 fig.update_layout(scene = dict(
                     xaxis = dict(
                         ticktext= ['TICKS','MESH','PLOTLY','PYTHON'],
@@ -184,7 +184,7 @@ fig = go.Figure(data=[go.Mesh3d(x=(30*np.random.randn(N)),
                    opacity=0.5,)])
 
 
-# xaxis.backgroundcolor is used to set background color
+# xaxis.backgroundcolor is used to set background color
 fig.update_layout(scene = dict(
                     xaxis = dict(
                          backgroundcolor="rgb(200, 200, 230)",

doc/python/box-plots.md

@@ -280,7 +280,7 @@ fig.add_trace(go.Box(
     name="All Points",
     jitter=0.3,
     pointpos=-1.8,
-    boxpoints='all', # represent all points
+    boxpoints='all', # represent all points
     marker_color='rgb(7,40,89)',
     line_color='rgb(7,40,89)'
 ))
@@ -353,7 +353,7 @@ fig.add_trace(go.Box(
 
 fig.update_layout(
     yaxis_title='normalized moisture',
-    boxmode='group' # group together boxes of the different traces for each value of x
+    boxmode='group' # group together boxes of the different traces for each value of x
 )
 fig.show()
 ```

doc/python/bubble-maps.md

@@ -50,7 +50,7 @@ fig = px.scatter_geo(df, locations="iso_alpha", color="continent",
 fig.show()
 ```
 
-### Bubble Map with animation
+### Bubble Map with animation
 
 ```python
 import plotly.express as px

doc/python/choropleth-maps.md

@@ -260,7 +260,7 @@ fig.update_layout(
     geo = dict(
         scope='usa',
         projection=go.layout.geo.Projection(type = 'albers usa'),
-        showlakes=True, # lakes
+        showlakes=True, # lakes
         lakecolor='rgb(255, 255, 255)'),
 )
 

doc/python/error-bars.md

@@ -33,7 +33,7 @@ jupyter:
     thumbnail: thumbnail/error-bar.jpg
 ---
 
-### Error Bars with Plotly Express
+### Error Bars with Plotly Express
 
 [Plotly Express](/python/plotly-express/) is the easy-to-use, high-level interface to Plotly, which [operates on "tidy" data](/python/px-arguments/) and produces [easy-to-style figures](/python/styling-plotly-express/). For functions representing 2D data points such as [`px.scatter`](https://plot.ly/python/line-and-scatter/), [`px.line`](https://plot.ly/python/line-charts/), [`px.bar`](https://plot.ly/python/bar-charts/) etc., error bars are given as a column name which is the value of the `error_x` (for the error on x position) and `error_y` (for the error on y position).
 
@@ -46,7 +46,7 @@ fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
 fig.show()
 ```
 
-#### Asymmetric Error Bars with Plotly Express
+#### Asymmetric Error Bars with Plotly Express
 
 ```python
 import plotly.express as px

doc/python/filled-area-plots.md

@@ -70,7 +70,7 @@ import plotly.graph_objects as go
 
 fig = go.Figure()
 fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[0, 2, 3, 5], fill='tozeroy',
-                    mode='none' # override default markers+lines
+                    mode='none' # override default markers+lines
                     ))
 fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[3, 5, 1, 7], fill='tonexty',
                     mode= 'none'))
@@ -92,7 +92,7 @@ fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[3, 4, 8, 3],
 fig.add_trace(go.Scatter(
     x=[1, 2, 3, 4],
     y=[1, 6, 2, 6],
-    fill='tonexty', # fill area between trace0 and trace1
+    fill='tonexty', # fill area between trace0 and trace1
     mode='lines', line_color='indigo'))
 
 fig.show()

doc/python/histograms.md

@@ -244,7 +244,7 @@ fig.add_trace(go.Histogram(
     x=x0,
     histnorm='percent',
     name='control', # name used in legend and hover labels
-    xbins=dict( # bins used for histogram
+    xbins=dict( # bins used for histogram
         start=-4.0,
         end=3.0,
         size=0.5
@@ -266,10 +266,10 @@ fig.add_trace(go.Histogram(
 ))
 
 fig.update_layout(
-    title_text='Sampled Results', # title of plot
+    title_text='Sampled Results', # title of plot
     xaxis_title_text='Value', # xaxis label
     yaxis_title_text='Count', # yaxis label
-    bargap=0.2, # gap between bars of adjacent location coordinates
+    bargap=0.2, # gap between bars of adjacent location coordinates
     bargroupgap=0.1 # gap between bars of the same location coordinates
 )
 
@@ -338,7 +338,7 @@ trace5 = go.Histogram(x=x,
                       xbins=dict(
                       start='1969-11-15',
                       end='1972-03-31',
-                      size= 'M2'), # 2 months
+                      size= 'M2'), # 2 months
                       autobinx = False
                       )
 

doc/python/line-charts.md

@@ -70,7 +70,7 @@ fig = px.line(df, x="year", y="lifeExp", color="continent",
 fig.show()
 ```
 
-### Line Plot with go.Scatter
+### Line Plot with go.Scatter
 
 If Plotly Express does not provide a good starting point, it is possible to use the more generic `go.Scatter` function from `plotly.graph_objects`. Whereas `plotly.express` has two functions `scatter` and `line`, `go.Scatter` can be used both for plotting points (makers) or lines, depending on the value of `mode`. The different options of `go.Scatter` are documented in its [reference page](https://plot.ly/python/reference/#scatter).
 

doc/python/lines-on-maps.md

@@ -52,7 +52,7 @@ fig = px.line_geo(df, locations="iso_alpha",
 fig.show()
 ```
 
-## Lines on Maps with plotly.graph_objects
+## Lines on Maps with plotly.graph_objects
 
 ### US Flight Paths Map
 

doc/python/network-graphs.md

@@ -43,7 +43,7 @@ Install the Python library `networkx` with `pip install networkx`.
 
 
 
-### Create random graph
+### Create random graph
 
 ```python
 import plotly.graph_objects as go