diff --git a/doc/python/axes.md b/doc/python/axes.md
index 4a5d495c81d..296f9d15b12 100644
--- a/doc/python/axes.md
+++ b/doc/python/axes.md
@@ -125,6 +125,19 @@ fig = px.bar(df, x=["Apples", "Oranges"], y=[10,20], color=["Here", "There"],
fig.show()
```
+##### Rotate axes 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`.
+
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+
+
+```python hide_code=true
+from IPython.display import IFrame
+snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
+IFrame(snippet_url + 'axes', width='100%', height=630)
+```
+
##### 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.
diff --git a/doc/python/bar-charts.md b/doc/python/bar-charts.md
index 3fc03ebfc76..948628392fa 100644
--- a/doc/python/bar-charts.md
+++ b/doc/python/bar-charts.md
@@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.2'
- jupytext_version: 1.4.2
+ jupytext_version: 1.6.0
kernelspec:
display_name: Python 3
language: python
@@ -85,6 +85,19 @@ fig.show()
wide_df
```
+### Bar chart 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`.
+
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+
+
+```python hide_code=true
+from IPython.display import IFrame
+snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
+IFrame(snippet_url + 'bar-charts', width='100%', height=630)
+```
+
### Customize bar chart with Plotly Express
The bar plot can be customized using keyword arguments.
diff --git a/doc/python/getting-started.md b/doc/python/getting-started.md
index cb4e3a40b65..c28dec83baf 100644
--- a/doc/python/getting-started.md
+++ b/doc/python/getting-started.md
@@ -5,8 +5,8 @@ jupyter:
text_representation:
extension: .md
format_name: markdown
- format_version: "1.1"
- jupytext_version: 1.1.1
+ format_version: '1.2'
+ jupytext_version: 1.6.0
kernelspec:
display_name: Python 3
language: python
@@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
- version: 3.7.3
+ version: 3.7.7
plotly:
description: Getting Started with Plotly for Python.
has_thumbnail: false
@@ -30,8 +30,8 @@ jupyter:
page_type: u-guide
permalink: python/getting-started/
redirect_from:
- - python/getting_started/
- - /python/pytables/
+ - python/getting_started/
+ - /python/pytables/
---
@@ -80,6 +80,19 @@ fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
fig.write_html('first_figure.html', auto_open=True)
```
+### Plotly chart 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`.
+
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+
+
+```python hide_code=true
+from IPython.display import IFrame
+snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
+IFrame(snippet_url + 'getting-started', width='100%', height=630)
+```
+
#### Jupyter Notebook Support
diff --git a/doc/python/line-and-scatter.md b/doc/python/line-and-scatter.md
index ac747a39122..2f94832793d 100644
--- a/doc/python/line-and-scatter.md
+++ b/doc/python/line-and-scatter.md
@@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.2'
- jupytext_version: 1.4.2
+ jupytext_version: 1.6.0
kernelspec:
display_name: Python 3
language: python
@@ -67,6 +67,19 @@ fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species",
fig.show()
```
+## Scatter plot 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`.
+
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+
+
+```python hide_code=true
+from IPython.display import IFrame
+snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
+IFrame(snippet_url + 'line-and-scatter', width='100%', height=630)
+```
+
## Line plot with Plotly Express
```python
diff --git a/doc/python/line-charts.md b/doc/python/line-charts.md
index 86df965a144..5dbbbb94889 100644
--- a/doc/python/line-charts.md
+++ b/doc/python/line-charts.md
@@ -5,8 +5,8 @@ jupyter:
text_representation:
extension: .md
format_name: markdown
- format_version: '1.1'
- jupytext_version: 1.1.1
+ format_version: '1.2'
+ jupytext_version: 1.6.0
kernelspec:
display_name: Python 3
language: python
@@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
- version: 3.6.7
+ version: 3.7.7
plotly:
description: How to make line charts in Python with Plotly. Examples on creating
and styling line charts in Python with Plotly.
@@ -69,6 +69,19 @@ fig = px.line(df, x="year", y="lifeExp", color="continent",
fig.show()
```
+### Line chart 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`.
+
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+
+
+```python hide_code=true
+from IPython.display import IFrame
+snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
+IFrame(snippet_url + 'line-charts', width='100%', height=630)
+```
+
### Sparklines with Plotly Express
Sparklines are scatter plots inside subplots, with gridlines, axis lines, and ticks removed.
diff --git a/doc/python/plotly-express.md b/doc/python/plotly-express.md
index 2fb059279ac..c26c79ab8b8 100644
--- a/doc/python/plotly-express.md
+++ b/doc/python/plotly-express.md
@@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.2'
- jupytext_version: 1.4.2
+ jupytext_version: 1.6.0
kernelspec:
display_name: Python 3
language: python
@@ -72,6 +72,20 @@ The Plotly Express API in general offers the following features:
* **Trendlines**: `px.scatter` supports [built-in trendlines with accessible model output](/python/linear-fits/).
* **Animations**: many PX functions support [simple animation support via the `animation_frame` and `animation_group` arguments](/python/animations/).
+
+### Plotly Express 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`.
+
+Get started with [the official Dash docs](https://dash.plotly.com/installation) and **learn how to effortlessly [style](https://plotly.com/dash/design-kit/) & [deploy](https://plotly.com/dash/app-manager/) apps like this with Dash Enterprise.**
+
+
+```python hide_code=true
+from IPython.display import IFrame
+snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
+IFrame(snippet_url + 'plotly-express', width='100%', height=630)
+```
+
### Gallery
The following set of figures is just a sampling of what can be done with Plotly Express.
@@ -416,4 +430,4 @@ df = px.data.election()
fig = px.scatter_ternary(df, a="Joly", b="Coderre", c="Bergeron", color="winner", size="total", hover_name="district",
size_max=15, color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"} )
fig.show()
-```
\ No newline at end of file
+```