diff --git a/doc/python/3d-mesh.md b/doc/python/3d-mesh.md
index ca149187dde..3649a37d73f 100644
--- a/doc/python/3d-mesh.md
+++ b/doc/python/3d-mesh.md
@@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.2'
- jupytext_version: 1.3.0
+ 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: 3.7.6
plotly:
description: How to make 3D Mesh Plots
display_as: 3d_charts
@@ -68,6 +68,19 @@ fig = go.Figure(data=[go.Mesh3d(x=x, y=y, z=z,
fig.show()
```
+### 3D Mesh 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 + '3d-mesh', width='100%', height=630)
+```
+
### Mesh Tetrahedron
In this example we use the `ì`, `j` and `k` parameters to specify manually the geometry of the triangles of the mesh.
@@ -163,4 +176,4 @@ fig.show()
```
## Reference
-See https://plotly.com/python/reference/mesh3d/ for more information and chart attribute options!
\ No newline at end of file
+See https://plotly.com/python/reference/mesh3d/ for more information and chart attribute options!
diff --git a/doc/python/3d-scatter-plots.md b/doc/python/3d-scatter-plots.md
index 8705d9b7f31..bc86a9fe9cb 100644
--- a/doc/python/3d-scatter-plots.md
+++ b/doc/python/3d-scatter-plots.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: 3.6.8
+ version: 3.7.6
plotly:
description: How to make 3D scatter plots in Python with Plotly.
display_as: 3d_charts
@@ -72,6 +72,19 @@ fig = px.scatter_3d(df, x='sepal_length', y='sepal_width', z='petal_width',
fig.update_layout(margin=dict(l=0, r=0, b=0, t=0))
```
+#### 3d scatter plots 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 + '3d-scatter-plots', width='100%', height=630)
+```
+
### 3D Scatter Plot with go.Scatter3d
#### Basic 3D Scatter Plot
@@ -122,4 +135,4 @@ fig.show()
#### Reference
-See https://plotly.com/python/reference/scatter3d/ for more information and chart attribute options!
\ No newline at end of file
+See https://plotly.com/python/reference/scatter3d/ for more information and chart attribute options!
diff --git a/doc/python/figure-labels.md b/doc/python/figure-labels.md
index 40ee0b3c303..2cb1c21f28d 100644
--- a/doc/python/figure-labels.md
+++ b/doc/python/figure-labels.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
@@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
- version: 3.7.7
+ version: 3.7.6
plotly:
description: How to set the global font, title, legend-entries, and axis-titles
in python.
@@ -86,6 +86,18 @@ fig.update_xaxes(title_font_family="Arial")
fig.show()
```
+### Fonts and 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 dash-daq`, 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 + 'figure-labels', width='100%', height=630)
+```
+
### Manual Labelling with Graph Objects
When using (graph objects)[/python/graph-objects/] rather than [Plotly Express](/python/plotly-express/), you will need to explicitly label traces and axes:
@@ -147,4 +159,4 @@ fig.show()
```
#### Reference
-See https://plotly.com/python/reference/layout/ for more information!
\ No newline at end of file
+See https://plotly.com/python/reference/layout/ for more information!
diff --git a/doc/python/heatmaps.md b/doc/python/heatmaps.md
index 1801c04d96e..56c728913f4 100644
--- a/doc/python/heatmaps.md
+++ b/doc/python/heatmaps.md
@@ -6,7 +6,7 @@ jupyter:
extension: .md
format_name: markdown
format_version: '1.2'
- jupytext_version: 1.3.0
+ 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: 3.7.6
plotly:
description: How to make Heatmaps in Python with Plotly.
display_as: scientific
@@ -57,6 +57,19 @@ fig = px.imshow(df)
fig.show()
```
+#### Heatmaps 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 + 'heatmaps', width='100%', height=630)
+```
+
### Customizing the axes and labels on a heatmap
You can use the `x`, `y` and `labels` arguments to customize the display of a heatmap, and use `.update_xaxes()` to move the x axis tick labels to the top:
diff --git a/doc/python/shapes.md b/doc/python/shapes.md
index 92de94ca55c..249f277d8d5 100644
--- a/doc/python/shapes.md
+++ b/doc/python/shapes.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
@@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
- version: 3.7.7
+ version: 3.7.6
plotly:
description: How to make SVG shapes in python. Examples of lines, circle, rectangle,
and path.
@@ -69,6 +69,19 @@ fig = go.Figure(go.Scatter(x=[0,1,2,0,None,3,3,5,5,3], y=[0,2,0,0,None,0.5,1.5,1
fig.show()
```
+#### Shapes 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 + 'shapes', width='100%', height=630)
+```
+
#### Vertical and Horizontal Lines Positioned Relative to the Axis Data
```python