跳转至

Filled area plots

This example shows how to fill the area enclosed by traces.

Filled area plot with plotly.express

Plotly Express is the easy-to-use, high-level interface to Plotly, which operates on a variety of types of data and produces easy-to-style figures.

px.area creates a stacked area plot. Each filled area corresponds to one value of the column given by the line_group parameter.

import plotly.express as px
df = px.data.gapminder()
fig = px.area(df, x="year", y="pop", color="continent",
          line_group="country")
fig.show()

Filled area plot in Dash

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 and learn how to effortlessly style & deploy 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 + 'filled-area-plots', width='100%', height=630) 

### Filled area chart with plotly.graph_objects

#### Basic Overlaid Area Chart

```python
import plotly.graph_objects as go

fig = go.Figure()
fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[0, 2, 3, 5], fill='tozeroy')) # fill down to xaxis
fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[3, 5, 1, 7], fill='tonexty')) # fill to trace0 y

fig.show()

Overlaid Area Chart Without Boundary Lines

import plotly.graph_objects as go

fig = go.Figure()
fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[0, 2, 3, 5], fill='tozeroy',
                    mode='none' # override default markers+lines
                    ))
fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[3, 5, 1, 7], fill='tonexty',
                    mode= 'none'))

fig.show()

Interior Filling for Area Chart

import plotly.graph_objects as go

fig = go.Figure()
fig.add_trace(go.Scatter(x=[1, 2, 3, 4], y=[3, 4, 8, 3],
    fill=None,
    mode='lines',
    line_color='indigo',
    ))
fig.add_trace(go.Scatter(
    x=[1, 2, 3, 4],
    y=[1, 6, 2, 6],
    fill='tonexty', # fill area between trace0 and trace1
    mode='lines', line_color='indigo'))

fig.show()

Stacked Area Chart

The stackgroup parameter is used to add the y values of the different traces in the same group. Traces in the same group fill up to the next trace of the group.

import plotly.graph_objects as go

x=['Winter', 'Spring', 'Summer', 'Fall']

fig = go.Figure()
fig.add_trace(go.Scatter(
    x=x, y=[40, 60, 40, 10],
    hoverinfo='x+y',
    mode='lines',
    line=dict(width=0.5, color='rgb(131, 90, 241)'),
    stackgroup='one' # define stack group
))
fig.add_trace(go.Scatter(
    x=x, y=[20, 10, 10, 60],
    hoverinfo='x+y',
    mode='lines',
    line=dict(width=0.5, color='rgb(111, 231, 219)'),
    stackgroup='one'
))
fig.add_trace(go.Scatter(
    x=x, y=[40, 30, 50, 30],
    hoverinfo='x+y',
    mode='lines',
    line=dict(width=0.5, color='rgb(184, 247, 212)'),
    stackgroup='one'
))

fig.update_layout(yaxis_range=(0, 100))
fig.show()

Stacked Area Chart with Normalized Values

import plotly.graph_objects as go

x=['Winter', 'Spring', 'Summer', 'Fall']
fig = go.Figure()

fig.add_trace(go.Scatter(
    x=x, y=[40, 20, 30, 40],
    mode='lines',
    line=dict(width=0.5, color='rgb(184, 247, 212)'),
    stackgroup='one',
    groupnorm='percent' # sets the normalization for the sum of the stackgroup
))
fig.add_trace(go.Scatter(
    x=x, y=[50, 70, 40, 60],
    mode='lines',
    line=dict(width=0.5, color='rgb(111, 231, 219)'),
    stackgroup='one'
))
fig.add_trace(go.Scatter(
    x=x, y=[70, 80, 60, 70],
    mode='lines',
    line=dict(width=0.5, color='rgb(127, 166, 238)'),
    stackgroup='one'
))
fig.add_trace(go.Scatter(
    x=x, y=[100, 100, 100, 100],
    mode='lines',
    line=dict(width=0.5, color='rgb(131, 90, 241)'),
    stackgroup='one'
))

fig.update_layout(
    showlegend=True,
    xaxis_type='category',
    yaxis=dict(
        type='linear',
        range=[1, 100],
        ticksuffix='%'))

fig.show()

Select Hover Points

import plotly.graph_objects as go

fig = go.Figure()
fig.add_trace(go.Scatter(x=[0,0.5,1,1.5,2], y=[0,1,2,1,0],
                    fill='toself', fillcolor='darkviolet',
                    hoveron = 'points+fills', # select where hover is active
                    line_color='darkviolet',
                    text="Points + Fills",
                    hoverinfo = 'text+x+y'))

fig.add_trace(go.Scatter(x=[3,3.5,4,4.5,5], y=[0,1,2,1,0],
                    fill='toself', fillcolor = 'violet',
                    hoveron='points',
                    line_color='violet',
                    text="Points only",
                    hoverinfo='text+x+y'))

fig.update_layout(
    title = "hover on <i>points</i> or <i>fill</i>",
    xaxis_range = [0,5.2],
    yaxis_range = [0,3]
)

fig.show()

Reference

See https://plotly.com/python/reference/scatter/#scatter-line and https://plotly.com/python/reference/scatter/#scatter-fill for more information and attribute options!

Back to top