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 nana from np array
x = x[~numpy.isnan(x)]python remove nan rows
df = df[df['my_var'].notna()]Copyright © 2021 Codeinu
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