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Setting graph size

Adjusting Height, Width, & Margins 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.

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()

Adjusting graph size with 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 + 'setting-graph-size', width='100%', height=630) 

### Adjusting Height, Width, & Margins With Graph Objects

[Graph objects](/python/graph-objects/) are the low-level building blocks of figures which you can use instead of Plotly Express for greater control.

```python
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()

Automatically Adjust Margins

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

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_text="Y-axis Title",
        ticktext=["Very long label", "long label", "3", "label"],
        tickvals=[1, 2, 3, 4],
        tickmode="array",
        titlefont=dict(size=30),
    )
)

fig.update_yaxes(automargin=True)

fig.show()

Reference

See https://plotly.com/python/reference/layout/ for more information and chart attribute options!

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