import math
x = float('nan')
math.isnan(x)
True
>>> pd.isnull(None)
True
import math
print math.isnan(float('NaN'))OutputTrue
print math.isnan(1.0)OutputFalse
# If you are doing any conditional operation and you want to check a if
# a single value is Null or not then you can use numpy's isna method.
np.isna(df[col][0])
if(term != term):
print("it's a nan value")