docs for ticklabelposition

Author: nicolaskruchten

doc/python/axes.md

@@ -124,7 +124,7 @@ fig = px.bar(df, x=["Apples", "Oranges"], y=[10,20], color=["Here", "There"],
 fig.show()
 ```
 
-##### Rotate axes in Dash
+##### Rotating tick labels in Dash
 
 [Dash](https://plotly.com/dash/) is the best way to build analytical apps in Python using Plotly figures. To run the app below, run `pip install dash`, click "Download" to get the code and run `python app.py`.
 
@@ -137,6 +137,19 @@ snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
 IFrame(snippet_url + 'axes', width='100%', height=630)
 ```
 
+#### Moving Tick Labels Inside the Plot
+
+The `ticklabelposition` attribute moves tick labels inside the plotting area, and modifies the auto-range behaviour to accomodate the labels.
+
+```python
+import plotly.express as px
+
+df = px.data.stocks(indexed=True)-1
+fig = px.bar(df, x=df.index, y="GOOG")
+fig.update_yaxes(ticklabelposition="inside top", title=None)
+fig.show()
+```
+
 ##### Set axis title text with Graph Objects
 
 Axis titles are set using the nested `title.text` property of the x or y axis. Here is an example of creating a new figure and using `update_xaxes` and `update_yaxes`, with magic underscore notation, to set the axis titles.

doc/python/time-series.md

@@ -6,7 +6,7 @@ jupyter:
       extension: .md
       format_name: markdown
       format_version: '1.2'
-      jupytext_version: 1.6.0
+      jupytext_version: 1.4.2
   kernelspec:
     display_name: Python 3
     language: python
@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.7.6
+    version: 3.7.7
   plotly:
     description: How to plot date and time in python.
     display_as: financial