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 nannumpy 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 nanremove nans and infs python
df.replace([np.inf, -np.inf], np.nan).dropna(axis=1)Copyright © 2021 Codeinu
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