PYTHON

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

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 check if nan

import math
x = float('nan')
math.isnan(x)
True

python 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 != num

check if a value is nan pandas

import numpy as np
import pandas as pd

val = np.nan

print(pd.isnull(val))
# True

check if value is NaN

Number.isNaN(123)

check is string is nan python

>>> pd.isnull(None)
True

check if something is nan python

import math
print math.isnan(float('NaN'))OutputTrue
print math.isnan(1.0)OutputFalse

how to check if a value is nan in python

# 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])

how to check if a string value is nan in python

if(term != term):
	print("it's a nan value")