Merge pull request #2312 from plotly/ly-to-com

change .ly to .com

Author: Joseph Damiba

doc/python/2D-Histogram.md

@@ -71,7 +71,7 @@ fig = go.Figure(go.Histogram2d(x=x, y=y, histnorm='probability',
 fig.show()
 ```
 ### Sharing bin settings between 2D Histograms
-This example shows how to use [bingroup](https://plot.ly/python/reference/#histogram-bingroup) attribute to have a compatible bin settings for both histograms. To define `start`, `end` and `size` value of x-axis and y-axis seperatly, set [ybins](https://plot.ly/python/reference/#histogram2dcontour-ybins) and `xbins`.
+This example shows how to use [bingroup](https://plotly.com/python/reference/#histogram-bingroup) attribute to have a compatible bin settings for both histograms. To define `start`, `end` and `size` value of x-axis and y-axis seperatly, set [ybins](https://plotly.com/python/reference/#histogram2dcontour-ybins) and `xbins`.
 
 ```python
 import plotly.graph_objects as go
@@ -170,4 +170,4 @@ fig.show()
 ```
 
 #### Reference
-See https://plot.ly/python/reference/#histogram2d for more information and chart attribute options!
+See https://plotly.com/python/reference/#histogram2d for more information and chart attribute options!

doc/python/2d-histogram-contour.md

@@ -185,4 +185,4 @@ fig.show()
 ```
 
 #### Reference
-See https://plot.ly/python/reference/#histogram2dcontour for more information and chart attribute options!
+See https://plotly.com/python/reference/#histogram2dcontour for more information and chart attribute options!

doc/python/3d-axes.md

@@ -39,7 +39,7 @@ jupyter:
 attributes such as `xaxis`, `yaxis` and `zaxis` parameters, in order to
 set the range, title, ticks, color etc. of the axes.
 
-For creating 3D charts, see [this page](https://plot.ly/python/3d-charts/).
+For creating 3D charts, see [this page](https://plotly.com/python/3d-charts/).
 
 ```python
 import plotly.graph_objects as go

doc/python/3d-bubble-charts.md

@@ -108,7 +108,7 @@ fig = go.Figure(data=go.Scatter3d(
     mode = 'markers',
     marker = dict(
         sizemode = 'diameter',
-        sizeref = 750, # info on sizeref: https://plot.ly/python/reference/#scatter-marker-sizeref
+        sizeref = 750, # info on sizeref: https://plotly.com/python/reference/#scatter-marker-sizeref
         size = planet_diameter,
         color = planet_colors,
         )
@@ -147,7 +147,7 @@ fig = go.Figure(go.Scatter3d(
     mode = 'markers',
     marker = dict(
         sizemode = 'diameter',
-        sizeref = 750, # info on sizeref: https://plot.ly/python/reference/#scatter-marker-sizeref
+        sizeref = 750, # info on sizeref: https://plotly.com/python/reference/#scatter-marker-sizeref
         size = planet_diameter,
         color = temperatures,
         colorbar_title = 'Mean<br>Temperature',
@@ -167,4 +167,4 @@ fig.show()
 
 #### Reference
 
-See https://plot.ly/python/reference/#scatter3d and https://plot.ly/python/reference/#scatter-marker-sizeref <br>for more information and chart attribute options!
+See https://plotly.com/python/reference/#scatter3d and https://plotly.com/python/reference/#scatter-marker-sizeref <br>for more information and chart attribute options!

doc/python/3d-camera-controls.md

@@ -290,4 +290,4 @@ fig.show()
 #### Reference
 
 
-See https://plot.ly/python/reference/#layout-scene-camera for more information and chart attribute options!
+See https://plotly.com/python/reference/#layout-scene-camera for more information and chart attribute options!

doc/python/3d-isosurface-plots.md

@@ -235,5 +235,5 @@ fig.show()
 ```
 
 #### Reference
-See https://plot.ly/python/reference/#isosurface for more information and chart attribute options!
+See https://plotly.com/python/reference/#isosurface for more information and chart attribute options!
 

doc/python/3d-line-plots.md

@@ -120,4 +120,4 @@ fig.show()
 
 #### Reference
 
-See https://plot.ly/python/reference/#scatter3d-marker-line for more information and chart attribute options!
+See https://plotly.com/python/reference/#scatter3d-marker-line for more information and chart attribute options!

doc/python/3d-mesh.md

@@ -163,4 +163,4 @@ fig.show()
 ```
 
 ## Reference
-See https://plot.ly/python/reference/#mesh3d for more information and chart attribute options!
+See https://plotly.com/python/reference/#mesh3d for more information and chart attribute options!

doc/python/3d-scatter-plots.md

@@ -37,7 +37,7 @@ jupyter:
 
 [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/).
 
-Like the [2D scatter plot](https://plot.ly/python/line-and-scatter/) `px.scatter`, the 3D function `px.scatter_3d` plots individual data in three-dimensional space.
+Like the [2D scatter plot](https://plotly.com/python/line-and-scatter/) `px.scatter`, the 3D function `px.scatter_3d` plots individual data in three-dimensional space.
 
 ```python
 import plotly.express as px
@@ -77,7 +77,7 @@ fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))
 #### Basic 3D Scatter Plot
 
 If Plotly Express does not provide a good starting point, it is also possible to use the more generic `go.Scatter3D` from `plotly.graph_objs`.
-Like the [2D scatter plot](https://plot.ly/python/line-and-scatter/) `go.Scatter`, `go.Scatter3d` plots individual data in three-dimensional space.
+Like the [2D scatter plot](https://plotly.com/python/line-and-scatter/) `go.Scatter`, `go.Scatter3d` plots individual data in three-dimensional space.
 
 ```python
 import plotly.graph_objects as go
@@ -122,7 +122,7 @@ fig.show()
 
 ### Dash App
 
-[Dash](https://plot.ly/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-3dscatterplot) can easily be deployed to a PaaS.
+[Dash](https://plotly.com/products/dash/) is an Open Source Python library which can help you convert plotly figures into a reactive, web-based application. Below is a simple example of a dashboard created using Dash. Its [source code](https://github.com/plotly/simple-example-chart-apps/tree/master/dash-3dscatterplot) can easily be deployed to a PaaS.
 
 ```python
 from IPython.display import IFrame
@@ -136,4 +136,4 @@ IFrame(src= "https://dash-simple-apps.plotly.host/dash-3dscatterplot/code", widt
 
 #### Reference
 
-See https://plot.ly/python/reference/#scatter3d for more information and chart attribute options!
+See https://plotly.com/python/reference/#scatter3d for more information and chart attribute options!

doc/python/3d-subplots.md

@@ -82,4 +82,4 @@ fig.show()
 #### Reference
 
 
-See https://plot.ly/python/subplots/ for more information regarding subplots!
+See https://plotly.com/python/subplots/ for more information regarding subplots!