Avoid using inplace=True

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Metadata

ID: python-pandas/avoid-inplace

Language: Python

Severity: Warning

Category: Best Practices

Description

Avoid using inplace=True as it does not have clear performance impact and is potentially dangerous and does not behave as it should.

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Why You Should Probably Never Use pandas inplace=True

Non-Compliant Code Examples

df.drop(['a'], axis=1, inplace=True)

Compliant Code Examples

df.drop(['a'], axis=1, inplace=False)

How to use this rule

1
2
rulesets:
  - python-pandas     # Rules to enforce Python pandas.

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