Configuration Options¶

The .show() method that you use to display your figures also accepts a config parameter.

You can set the configuration options for your figure by passing a dictionary to this parameter which contains the options you want to set.

If you don't set an option's value, it will automatically be set to the default value for that option.

For the complete list of configuration options and their defaults see: https://github.com/plotly/plotly.js/blob/master/src/plot_api/plot_config.js

Enabling Scroll Zoom¶

This option allows users to zoom in and out of figures using the scroll wheel on their mouse and/or a two-finger scroll.

In [1]:

import plotly.graph_objects as go

fig = go.Figure()

config = {'scrollZoom': True}

fig.add_trace(
    go.Scatter(
        x=[1, 2, 3],
        y=[1, 3, 1]))

fig.show(config=config)

Turning Off Responsiveness¶

By default, figures you create with the plotly.py package are responsive. Responsive figures automatically change their height and width when the size of the window they are displayed in changes. This is true for figures which are displayed in web browsers on desktops and mobile, Jupyter Notebooks, and other rendering environments.

Try resizing your browser window to see this behavior in effect on this page.

If you would like to disable this default behavior and force your figures to always have the same height and width regardless of the window size, set the value of the responsive key to False in your figure's configuration dictionary.

In [2]:

import plotly.graph_objects as go

fig = go.Figure()

config = {'responsive': False}

fig.add_trace(
    go.Scatter(
        x=[1, 2, 3],
        y=[1, 3, 1]))

fig.show(config=config)

Making A Static Chart¶

In [3]:

import plotly.graph_objects as go

fig = go.Figure()

config = {'staticPlot': True}

fig.add_trace(
    go.Scatter(
        x=[1, 2, 3],
        y=[1, 3, 1]))

fig.show(config=config)

Forcing The Modebar to Always Be Visible¶

When users hover over a figure generated with plotly.py, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure.

By default, the modebar is only visible while the user is hovering over the chart. If you would like the modebar to always be visible regardless of whether or not the user is currently hovering over the figure, set the displayModeBar attribute in the configuration of your figure to true.

In [4]:

import plotly.graph_objects as go

fig = go.Figure()

config = {'displayModeBar': True}

fig.add_trace(
    go.Scatter(
        x=[1, 2, 3],
        y=[1, 3, 1]))

fig.show(config=config)

Preventing the Modebar from Appearing¶

When users hover over a figure generated with plotly.py, a modebar appears in the top-right of the figure. This presents users with several options for interacting with the figure.

By default, the modebar is only visible while the user is hovering over the chart. If you would like the modebar to never be visible, then set the displayModeBar attribute in the config of your figure to false.

In [5]:

import plotly.graph_objects as go

fig = go.Figure()

config = {'displayModeBar': False}

fig.add_trace(
    go.Scatter(
        x=[1, 2, 3],
        y=[1, 3, 1]))

fig.show(config=config)

Hiding the Plotly Logo on the Modebar¶

In [6]:

import plotly.graph_objects as go

fig = go.Figure()

config = {'displaylogo': False}

fig.add_trace(
    go.Scatter(
        x=[1, 2, 3],
        y=[1, 3, 1]))

fig.show(config=config)

Customizing Modebar "Download Plot" Button¶

The camera icon on the modebar causes a static version of the figure to be downloaded via the user's browser. The default behaviour is to download a PNG of size 700 by 450 pixels.

This behavior can be controlled via the toImageButtonOptions configuration key.

In [7]:

import plotly.express as px

config = {
  'toImageButtonOptions': {
    'format': 'svg', # one of png, svg, jpeg, webp
    'filename': 'custom_image',
    'height': 500,
    'width': 700,
    'scale': 1 # Multiply title/legend/axis/canvas sizes by this factor
  }
}

fig = px.bar(x=[1, 2, 3], y=[1, 3, 1])

fig.show(config=config)

Figures can be set to download at the currently-rendered size by setting height and width to None:

In [8]:

import plotly.express as px

config = {
  'toImageButtonOptions': { 'height': None, 'width': None, }
}

fig = px.bar(x=[1, 2, 3], y=[1, 3, 1])

fig.show(config=config)

Removing Modebar Buttons¶

To delete buttons from the modebar, pass an array of strings containing the names of the buttons you want to remove to the modeBarButtonsToRemove attribute in the figure's configuration dictionary. Note that different chart types have different default modebars. The following is a list of all the modebar buttons and the chart types they are associated with:

High-level: zoom, pan, select, zoomIn, zoomOut, autoScale, resetScale
2D: zoom2d, pan2d, select2d, lasso2d, zoomIn2d, zoomOut2d, autoScale2d, resetScale2d, v1hovermode
2D Shape Drawing: drawline, drawopenpath, drawclosedpath, drawcircle, drawrect, eraseshape
3D: zoom3d, pan3d, orbitRotation, tableRotation, handleDrag3d, resetCameraDefault3d, resetCameraLastSave3d, hoverClosest3d
Cartesian: hoverClosestCartesian, hoverCompareCartesian
Geo: zoomInGeo, zoomOutGeo, resetGeo, hoverClosestGeo
Other: hoverClosestGl2d, hoverClosestPie, toggleHover, resetViews, toImage, sendDataToCloud, toggleSpikelines, resetViewMapbox

In [9]:

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(
    go.Scatter(
        x=[