)

fig3= px.pie(

values=[30,20,10,40],

values=[30,20,10,40],

names=['A','B','C','D'],

)

If`kaleido` is installed, it will automatically be used to perform image export. If it is not installed, plotly.py will attempt to use`orca` instead. The`engine` argument to the`to_image` and`write_image` functions can be used to override this default behavior.

pio.defaults.default_height

In earlier versions of Plotly.py, these settings are available on`plotly.io.kaleido.scope`. This is deprecated since version 6.1. Use`plotly.io.defaults` instead.

In earlier versions of Plotly.py, these settings are available on`plotly.io.kaleido.scope`. This is deprecated since version 6.2. Use`plotly.io.defaults` instead.

import plotly.ioas pio

pip install --upgrade kaleido

Kaleido uses Chrome for static image generation. Versions of Kaleido prior to v1 included Chrome as part of the Kaleido package. Kaleido v1 does not include Chrome; instead, it looks for a compatible version of Chrome (or Chromium) already installed on the machine on which it's running.

See the[Chrome section](/python/static-image-export#chrome) on the Static Image Export page for more details on Chome and Kaleido.

The`engine` parameter on static image export methods and functions is deprecated in Plotly.py 6.1 and will be removed after September 2025. Once the`engine` parameter is removed, static image generation will use Kaleido v1 if it's installed, or raise an error if it isn't.

The`engine` parameter on static image export methods and functions is deprecated in Plotly.py 6.2 and will be removed after September 2025. Once the`engine` parameter is removed, static image generation will use Kaleido v1 if it's installed, or raise an error if it isn't.

You'll need to update your code to remove references to`engine`. For example,`fig.to_image(format="png", engine="orca")` or`fig.to_image(format="png", engine="kaleido")` needs to be updated to`fig.to_image(format="png")`. This change applies to:`fig.to_image`,`fig.write_image`,`plotly.io.to_image`, and`plotly.io.write_image`.

import plotly.ioas pio

pio.defaults.default_format="jpeg"