#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True] import math
x = float('nan')
math.isnan(x)
Truemath.isnan(n)# Test to see if it is equal to itself
def isNaN(num):
return num != numimport 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])