numpy find rows containing nan
# in each case returns array of bool
np.isnan(a).any(axis=1) # rows where any value is nan
np.isnan(a).all(axis=1) # rows where all values are nannumpy find rows containing nan
# in each case returns array of bool
np.isnan(a).any(axis=1) # rows where any value is nan
np.isnan(a).all(axis=1) # rows where all values are nanpython numpy array check if all nans
np.all(np.isnan(numpy_array))check nan values in a np array
array_has_nan = np.isnan(array_sum)np where nan
np.argwhere(np.isnan(x))numpy get index of nan
x = np.array([[1,2,3,4],
[2,3,np.nan,5],
[np.nan,5,2,3]])
np.argwhere(np.isnan(x))Copyright © 2021 Codeinu
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