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## Summary This should reduce false positives like https://github.com/astral-sh/ruff/issues/9491, by ignoring methods that are clearly not on a DataFrame. Closes https://github.com/astral-sh/ruff/issues/9491.
36 lines
701 B
Python
36 lines
701 B
Python
import pandas as pd
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x = pd.DataFrame()
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x.drop(["a"], axis=1, inplace=True)
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x.y.drop(["a"], axis=1, inplace=True)
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x["y"].drop(["a"], axis=1, inplace=True)
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x.drop(
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inplace=True,
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columns=["a"],
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axis=1,
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)
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if True:
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x.drop(
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inplace=True,
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columns=["a"],
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axis=1,
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)
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x.drop(["a"], axis=1, **kwargs, inplace=True)
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x.drop(["a"], axis=1, inplace=True, **kwargs)
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f(x.drop(["a"], axis=1, inplace=True))
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x.apply(lambda x: x.sort_values("a", inplace=True))
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import torch
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torch.m.ReLU(inplace=True) # safe because this isn't a pandas call
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(x.drop(["a"], axis=1, inplace=True))
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# This method doesn't take exist in Pandas, so ignore it.
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x.rotate_z(45, inplace=True)
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