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Showing content from https://plotly.com/python/setting-graph-size/ below:

Setting graph size in Python

How to manipulate the graph size, margins and background color.

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In [1]:

import plotly.express as px

df = px.data.tips()
fig = px.scatter(df, x="total_bill", y="tip", facet_col="sex",
                 width=800, height=400)

fig.update_layout(
    margin=dict(l=20, r=20, t=20, b=20),
    paper_bgcolor="LightSteelBlue",
)

fig.show()

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Graph objects are the low-level building blocks of figures which you can use instead of Plotly Express for greater control.

In [3]:

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Scatter(
    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    y=[0, 1, 2, 3, 4, 5, 6, 7, 8]
))

fig.update_layout(
    autosize=False,
    width=500,
    height=500,
    margin=dict(
        l=50,
        r=50,
        b=100,
        t=100,
        pad=4
    ),
    paper_bgcolor="LightSteelBlue",
)

fig.show()

Set automargin to True and Plotly will automatically increase the margin size to prevent ticklabels from being cut off or overlapping with axis titles.

In [4]:

import plotly.graph_objects as go


fig = go.Figure()

fig.add_trace(go.Bar(
    x=["Apples", "Oranges", "Watermelon", "Pears"],
    y=[3, 2, 1, 4]
))

fig.update_layout(
    autosize=False,
    width=500,
    height=500,
    yaxis=dict(
        title=dict(
            text="Y-axis Title",
            font=dict(
                size=30
            )
        ),
        ticktext=["Very long label", "long label", "3", "label"],
        tickvals=[1, 2, 3, 4],
        tickmode="array",
    )
)

fig.update_yaxes(automargin=True)

fig.show()

New in 5.10

You can also set automargin for specific sides of the figure. Here, we set automargin on the left and top of the figure.

In [5]:

import plotly.graph_objects as go


fig = go.Figure()

fig.add_trace(go.Bar(
    x=["Apples", "Oranges", "Watermelon", "Pears"],
    y=[3, 2, 1, 4]
))

fig.update_layout(
    autosize=False,
    width=500,
    height=500,
    yaxis=dict(
        title=dict(
            text="Y-axis Title",
            font=dict(
                size=30
            )
        ),
        ticktext=["Very long label", "long label", "3", "label"],
        tickvals=[1, 2, 3, 4],
        tickmode="array",
    )
)

fig.update_yaxes(automargin='left+top')

fig.show()

New in 5.11

To set a minimum width and height for a plot to be after automargin is applied, use minreducedwidth and minreducedheight. Here we set both to 250.

In [6]:

import plotly.graph_objects as go


fig = go.Figure()

fig.add_trace(go.Bar(
    x=["Apples", "Oranges", "Watermelon", "Pears"],
    y=[3, 2, 1, 4]
))

fig.update_layout(
    autosize=False,
    minreducedwidth=250,
    minreducedheight=250,
    width=450,
    height=450,
    yaxis=dict(
        title=dict(
            text="Y-axis Title",
            font=dict(
                size=30
            )
        ),
        ticktext=["Label", "Very long label", "Other label", "Very very long label"],
        tickvals=[1, 2, 3, 4],
        tickmode="array",
    )
)


fig.show()

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( ... )

from dash import Dash, dcc, html

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

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

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