Avoid using inplace=True

Metadata

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.

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

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

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

Create a static-analysis.datadog.yml with the content above at the root of your repository
Use our free IDE Plugins or add Code Security scans to your CI pipelines
Get feedback on your code

For more information, please read the Code Security documentation

Identify code vulnerabilities directly in your
VS Code editor

Identify code vulnerabilities directly in
JetBrains products