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Nov 19, 2020
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Add 5 more Dash snippets #2912

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19 changes: 16 additions & 3 deletions doc/python/3d-mesh.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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
Expand Down Expand Up @@ -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 <a style="color:red;" href="https://plotly.com/dash/">Dash Enterprise</a>.**


```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.
Expand Down Expand Up @@ -163,4 +176,4 @@ fig.show()
```

## Reference
See https://plotly.com/python/reference/mesh3d/ for more information and chart attribute options!
See https://plotly.com/python/reference/mesh3d/ for more information and chart attribute options!
21 changes: 17 additions & 4 deletions doc/python/3d-scatter-plots.md
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Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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
Expand Down Expand Up @@ -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 <a style="color:red;" href="https://plotly.com/dash/">Dash Enterprise</a>.**


```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
Expand Down Expand Up @@ -122,4 +135,4 @@ fig.show()

#### Reference

See https://plotly.com/python/reference/scatter3d/ for more information and chart attribute options!
See https://plotly.com/python/reference/scatter3d/ for more information and chart attribute options!
18 changes: 15 additions & 3 deletions doc/python/figure-labels.md
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Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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.
Expand Down Expand Up @@ -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 <a style="color:red;" href="https://plotly.com/dash/">Dash Enterprise</a>.**

```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:
Expand Down Expand Up @@ -147,4 +159,4 @@ fig.show()
```

#### Reference
See https://plotly.com/python/reference/layout/ for more information!
See https://plotly.com/python/reference/layout/ for more information!
17 changes: 15 additions & 2 deletions doc/python/heatmaps.md
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Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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
Expand Down Expand Up @@ -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 <a style="color:red;" href="https://plotly.com/dash/">Dash Enterprise</a>.**


```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:
Expand Down
17 changes: 15 additions & 2 deletions doc/python/shapes.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand All @@ -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.
Expand Down Expand Up @@ -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 <a style="color:red;" href="https://plotly.com/dash/">Dash Enterprise</a>.**


```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
Expand Down