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Numpy remove nan rows

How to remove rows with nan in pandas

df.dropna(subset=[columns],inplace=True)

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Numpy remove rows containing nan

a = a[~(np.isnan(a).any(axis=1))] # removes rows containing at least one nan
a = a[~(np.isnan(a).all(axis=1))] # removes rows containing all nan

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Source: note.nkmk.me

Python remove nan rows

df = df[df['my_var'].notna()]

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Source: stackoverflow.com

Numpy remove nan rows

a[ ~np.isnan(a).any(axis=1),:]

0

Source: note.nkmk.me

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