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
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
find nan value in dataframe python
# to mark NaN column as True
df['your column name'].isnull()
python3 is nan
>>> import math
>>> x = float('nan')
>>> math.isnan(x)
True
python test is nan
math.isnan(n)
python check if nan
import math
x = float('nan')
math.isnan(x)
True
check if something is nan python
import math
print math.isnan(float('NaN'))OutputTrue
print math.isnan(1.0)OutputFalse
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