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 nan
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 nan
python test if value is np.nan
import numpy as np
mynan = np.nan
mynum = 18
print("NaN? : ", np.isnan(mynan)) # Use np.isnan() to test
print("NaN? : ", np.isnan(mynum))
# Results:
# Nan? : True
# NaN? : False
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