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Add 6 new dash snippets to python docs #2949

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Add 6 new dash snippets to python docs #2949

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13 changes: 13 additions & 0 deletions doc/python/axes.md
View file
Original file line number Diff line number Diff line change
@@ -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 <a class="plotly-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 + '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.
15 changes: 14 additions & 1 deletion doc/python/bar-charts.md
View file
Original file line number Diff line number Diff line change
@@ -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 <a class="plotly-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 + 'bar-charts', width='100%', height=630)
```

### Customize bar chart with Plotly Express

The bar plot can be customized using keyword arguments.
23 changes: 18 additions & 5 deletions doc/python/getting-started.md
View file
Original file line number Diff line number Diff line change
@@ -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/
---

<!-- #region -->
@@ -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 <a class="plotly-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 + 'getting-started', width='100%', height=630)
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Please use some nicer colors on this one and reply to this comment when done. There are some nice named sets here #2192

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I just pushed the changes, should be reflected in a few mins.

```

<!-- #region -->

#### Jupyter Notebook Support
15 changes: 14 additions & 1 deletion doc/python/line-and-scatter.md
View file
Original file line number Diff line number Diff line change
@@ -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 <a class="plotly-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 + 'line-and-scatter', width='100%', height=630)
```

## Line plot with Plotly Express

```python
19 changes: 16 additions & 3 deletions doc/python/line-charts.md
View file
Original file line number Diff line number Diff line change
@@ -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 <a class="plotly-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 + 'line-charts', width='100%', height=630)
```

### Sparklines with Plotly Express

Sparklines are scatter plots inside subplots, with gridlines, axis lines, and ticks removed.
18 changes: 16 additions & 2 deletions doc/python/plotly-express.md
View file
Original file line number Diff line number Diff line change
@@ -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 <a class="plotly-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 + '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()
```
```