multiple-axes.md

jupyter

jupytext kernelspec language_info plotly notebook_metadata_filter text_representation all extension format_name format_version jupytext_version .md markdown 1.2 1.6.0 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 3.7.6 description display_as language layout name order permalink thumbnail How to make a graph with multiple axes (dual y-axis plots, plots with secondary axes) in python. file_settings python base Multiple Axes 16 python/multiple-axes/ thumbnail/multiple-axes.jpg

Multiple Y Axes and 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.

Note: At this time, Plotly Express does not support multiple Y axes on a single figure. To make such a figure, use the make_subplots() function in conjunction with graph objects as documented below.

Two Y Axes

import plotly.graph_objects as go
from plotly.subplots import make_subplots

# Create figure with secondary y-axis
fig = make_subplots(specs=[[{"secondary_y": True}]])

# Add traces
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[40, 50, 60], name="yaxis data"),
    secondary_y=False,
)

fig.add_trace(
    go.Scatter(x=[2, 3, 4], y=[4, 5, 6], name="yaxis2 data"),
    secondary_y=True,
)

# Add figure title
fig.update_layout(
    title_text="Double Y Axis Example"
)

# Set x-axis title
fig.update_xaxes(title_text="xaxis title")

# Set y-axes titles
fig.update_yaxes(title_text="<b>primary</b> yaxis title", secondary_y=False)
fig.update_yaxes(title_text="<b>secondary</b> yaxis title", secondary_y=True)

fig.show()

Multiple axes 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.

from IPython.display import IFrame
snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
IFrame(snippet_url + 'multiple-axes', width='100%', height=630)

Muliple Y-Axes Subplots

import plotly.graph_objects as go
from plotly.subplots import make_subplots

fig = make_subplots(rows=2, cols=2,
                    specs=[[{"secondary_y": True}, {"secondary_y": True}],
                           [{"secondary_y": True}, {"secondary_y": True}]])

# Top left
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[2, 52, 62], name="yaxis data"),
    row=1, col=1, secondary_y=False)

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[40, 50, 60], name="yaxis2 data"),
    row=1, col=1, secondary_y=True,
)

# Top right
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[2, 52, 62], name="yaxis3 data"),
    row=1, col=2, secondary_y=False,
)

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[40, 50, 60], name="yaxis4 data"),
    row=1, col=2, secondary_y=True,
)

# Bottom left
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[2, 52, 62], name="yaxis5 data"),
    row=2, col=1, secondary_y=False,
)

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[40, 50, 60], name="yaxis6 data"),
    row=2, col=1, secondary_y=True,
)

# Bottom right
fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[2, 52, 62], name="yaxis7 data"),
    row=2, col=2, secondary_y=False,
)

fig.add_trace(
    go.Scatter(x=[1, 2, 3], y=[40, 50, 60], name="yaxis8 data"),
    row=2, col=2, secondary_y=True,
)

fig.show()

Multiple Axes

Low-level API for creating a figure with multiple axes

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Scatter(
    x=[1, 2, 3],
    y=[4, 5, 6],
    name="yaxis1 data"
))


fig.add_trace(go.Scatter(
    x=[2, 3, 4],
    y=[40, 50, 60],
    name="yaxis2 data",
    yaxis="y2"
))

fig.add_trace(go.Scatter(
    x=[4, 5, 6],
    y=[40000, 50000, 60000],
    name="yaxis3 data",
    yaxis="y3"
))

fig.add_trace(go.Scatter(
    x=[5, 6, 7],
    y=[400000, 500000, 600000],
    name="yaxis4 data",
    yaxis="y4"
))


# Create axis objects
fig.update_layout(
    xaxis=dict(
        domain=[0.3, 0.7]
    ),
    yaxis=dict(
        title="yaxis title",
        titlefont=dict(
            color="#1f77b4"
        ),
        tickfont=dict(
            color="#1f77b4"
        )
    ),
    yaxis2=dict(
        title="yaxis2 title",
        titlefont=dict(
            color="#ff7f0e"
        ),
        tickfont=dict(
            color="#ff7f0e"
        ),
        anchor="free",
        overlaying="y",
        side="left",
        position=0.15
    ),
    yaxis3=dict(
        title="yaxis3 title",
        titlefont=dict(
            color="#d62728"
        ),
        tickfont=dict(
            color="#d62728"
        ),
        anchor="x",
        overlaying="y",
        side="right"
    ),
    yaxis4=dict(
        title="yaxis4 title",
        titlefont=dict(
            color="#9467bd"
        ),
        tickfont=dict(
            color="#9467bd"
        ),
        anchor="free",
        overlaying="y",
        side="right",
        position=0.85
    )
)

# Update layout properties
fig.update_layout(
    title_text="multiple y-axes example",
    width=800,
)

fig.show()

Reference

All of the y-axis properties are found here: https://plotly.com/python/reference/YAxis/. For more information on creating subplots see the Subplots in Python section.