filled-area-plots.md

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jupytext kernelspec language_info plotly notebook_metadata_filter text_representation all extension format_name format_version jupytext_version .md markdown 1.1 1.1.1 display_name language name Python 3 python python3 codemirror_mode file_extension mimetype name nbconvert_exporter pygments_lexer version name version ipython 3 .py text/x-python python python ipython3 3.6.7 description display_as language layout name order page_type permalink thumbnail How to make filled area plots in Python with Plotly. basic python base Filled Area Plots 7 u-guide python/filled-area-plots/ thumbnail/area.jpg

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 chart with plotly.graph_objects

Basic Overlaid Area Chart

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!