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)check if something is nan python
import math
print math.isnan(float('NaN'))OutputTrue
print math.isnan(1.0)OutputFalsecheck if var is NaN
let b=1
let n=readline()
if(isNaN(b)){
console.log("You typed 0!")
}else{
console.log("You did not type 0!")
}Copyright © 2021 Codeinu
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