Avoid using inplace=True


ID: python-pandas/avoid-inplace

Language: Python

Severity: Warning

Category: Best Practices


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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Non-Compliant Code Examples

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

Compliant Code Examples

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