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

python check if nan

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

python3 is 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

Check np.nan value

import pandas as pd
import numpy as np

df = pd.DataFrame(
	[[np.nan, 72, 67],
	[23, 78, 62],
	[32, 74, np.nan],
	[np.nan, 54, 76]],
	columns=['a', 'b', 'c'])

value = df.at[0, 'a']  #nan
isNaN = np.isnan(value)
print("Is value at df[0, 'a'] NaN :", isNaN)

value = df.at[0, 'b']  #72
isNaN = np.isnan(value)
print("Is value at df[0, 'b'] NaN :", isNaN)

Identify Null and NAN python

import pandas as pd
pd.isnull(df.columnName).sum()
pd.notnull(df.columnName).sum()

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")