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Filter in Python/v3

How to use filters in Python with Plotly.


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Note: this page is part of the documentation for version 3 of Plotly.py, which is not the most recent version.
See our Version 4 Migration Guide for information about how to upgrade.

New to Plotly?¶

Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!

Version Check¶

Plotly's python package is updated frequently. Run pip install plotly --upgrade to use the latest version.

In [1]:
import plotly
plotly.__version__
Out[1]:
'2.2.1'

Basic Example¶

In [2]:
import plotly.offline as off

off.init_notebook_mode(connected=True)

subject = ['Moe','Larry','Curly','Moe','Larry','Curly','Moe','Larry','Curly','Moe','Larry','Curly']
score = [1,6,2,8,2,9,4,5,1,5,2,8]

data = [dict(
  type = 'scatter',
  x = subject,
  y = score,
  mode = 'markers',
  transforms = [dict(
    type = 'filter',
    target = 'y',
    operation = '>',
    value = 4
  )]
)]

layout = dict(
    title = 'Scores > 4'
)

off.iplot({'data': data, 'layout': layout}, validate=False)

Reference¶

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