Note
Click here to download the full example code or to run this example in your browser via Binder
Example with the plotly graphing library¶
Mkdocs-Gallery supports examples made with the
plotly library. Mkdocs-Gallery is able to
capture the _repr_html_ of plotly figure objects (see
Controlling what output is captured).
To display the figure, the last line in your code block should therefore be the plotly figure object.
In order to use plotly, the conf_script of the project should include the
following lines to select the appropriate plotly renderer:
import plotly.io as pio
pio.renderers.default = 'sphinx_gallery'
Optional: the sphinx_gallery renderer of plotly will not generate png
thumbnails. For png thumbnails, you can use instead the sphinx_gallery_png
renderer, and add plotly.io._sg_scraper.plotly_sg_scraper to the list of
Image scrapers.
The scraper requires you to
install the orca package.
This tutorial gives a few examples of plotly figures, starting with its high-level API plotly express.
import plotly.express as px
import numpy as np
df = px.data.tips()
fig = px.bar(df, x='sex', y='total_bill', facet_col='day', color='smoker', barmode='group',
template='presentation+plotly'
)
fig.update_layout(height=400)
fig
In addition to the classical scatter or bar charts, plotly provides a large variety of traces, such as the sunburst hierarchical trace of the following example. plotly is an interactive library: click on one of the continents for a more detailed view of the drill-down.
df = px.data.gapminder().query("year == 2007")
fig = px.sunburst(df, path=['continent', 'country'], values='pop',
color='lifeExp', hover_data=['iso_alpha'],
color_continuous_scale='RdBu',
color_continuous_midpoint=np.average(df['lifeExp'], weights=df['pop']))
fig.update_layout(title_text='Life expectancy of countries and continents')
fig
While plotly express is often the high-level entry point of the plotly
library, complex figures mixing different types of traces can be made
with the low-level graph_objects imperative API.
from plotly.subplots import make_subplots
import plotly.graph_objects as go
fig = make_subplots(rows=1, cols=2, specs=[[{}, {'type':'domain'}]])
fig.add_trace(go.Bar(x=[2018, 2019, 2020], y=[3, 2, 5], showlegend=False), 1, 1)
fig.add_trace(go.Pie(labels=['A', 'B', 'C'], values=[1, 3, 6]), 1, 2)
fig.update_layout(height=400, template='presentation', yaxis_title_text='revenue')
fig
# mkdocs_gallery_thumbnail_path = '_static/plotly_logo.png'
Total running time of the script: ( 0 minutes 0.508 seconds)
Download Python source code: plot_09_plotly.py