check if a value in dataframe is nan
#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True]check if a value in dataframe is nan
#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True]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? : Falsepython test is nan
math.isnan(n)python checking if something is equal to NaN
# Test to see if it is equal to itself
def isNaN(num):
return num != numcheck if a value is nan pandas
import numpy as np
import pandas as pd
val = np.nan
print(pd.isnull(val))
# TrueCopyright © 2021 Codeinu
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