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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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remove nan particular column pandas

 df=df.dropna(subset=['columnname])
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numpy remove columns containing nan

a = a[~(np.isnan(a).any(axis=0))] # removes columns containing at least one nan
a = a[~(np.isnan(a).all(axis=0))] # removes columns containing all nan
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numpy remove nan rows

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