2

The following seems to work:

import pandas as pd
import sklearn
df = sklearn.datasets.load_iris()
df = pd.DataFrame(df.data, columns=df.feature_names)
df.shuffle()

However this shuffle function seems not to be a documented DataFrame function?

Is this an internal function we are not supposed to use?

Improve this question
2
  • I'm voting to close this question because it was caused by a typo and it not reproducible Commented Aug 7 at 11:38
  • I am a bit torn here: technically, you could easily make your observation reproducible with your code snippet by prepending import janitor to it – and it would still be true that in the official Pandas doc, the now-available df.shuffle() method could not be found. All in all, I believe the question and its answers still have merit for a wider audience, but I guess it is a bit of an edge case. Commented Aug 7 at 11:50

2 Answers 2

Reset to default
7

If it "works" in some environment, it's likely due to a custom extension or monkey patching.
In Pandas 2.3.1, the correct way to shuffle a DataFrame is:
df = df.sample(frac=1).reset_index(drop=True)
df.shuffle() is not part of the standard Pandas API.

Improve this answer
Sign up to request clarification or add additional context in comments.

Comments

2

It was pyjanitor. I forgot that it was imported.

Improve this answer

Comments

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.