Avoid using inplace=True

このページは日本語には対応しておりません。随時翻訳に取り組んでいます。翻訳に関してご質問やご意見ございましたら、お気軽にご連絡ください。

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 Analysis scans to your CI pipelines
Get feedback on your code

For more information, please read the Code Analysis documentation

Identify code vulnerabilities directly in your
VS Code editor

Identify code vulnerabilities directly in
JetBrains products