Multiple Axes in Python

How to make a graph with multiple axes in python.


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Plotly is a free and open-source graphing library for Python. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Two Y Axes

In [1]:
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()

Muliple Y-Axes Subplots

In [2]:
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

In [3]:
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="yaxis4 title",
        titlefont=dict(
            color="#d62728"
        ),
        tickfont=dict(
            color="#d62728"
        ),
        anchor="x",
        overlaying="y",
        side="right"
    ),
    yaxis4=dict(
        title="yaxis5 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.

What About Dash?

Dash is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash at https://dash.plot.ly/installation.

Everywhere in this page that you see fig.show(), you can display the same figure in a Dash application by passing it to the figure argument of the Graph component from the built-in dash_core_components package like this:

import plotly.graph_objects as go # or plotly.express as px
fig = go.Figure() # or any Plotly Express function e.g. px.bar(...)
# fig.add_trace( ... )
# fig.update_layout( ... )

import dash
import dash_core_components as dcc
import dash_html_components as html

app = dash.Dash()
app.layout = html.Div([
    dcc.Graph(figure=fig)
])

app.run_server(debug=True, use_reloader=False)  # Turn off reloader if inside Jupyter