TypeError: 'DataFrame' object is not callable
It seems you need DataFrame.var:
Normalized by N-1 by default. This can be changed using the ddof argument
var1 = credit_card.var()Sample:
#random dataframenp.random.seed(100)credit_card = pd.DataFrame(np.random.randint(10, size=(5,5)), columns=list('ABCDE'))print (credit_card) A B C D E0 8 8 3 7 71 0 4 2 5 22 2 2 1 0 83 4 0 9 6 24 4 1 5 3 4var1 = credit_card.var()print (var1)A 8.8B 10.0C 10.0D 7.7E 7.8dtype: float64var2 = credit_card.var(axis=1)print (var2)0 4.31 3.82 9.83 12.24 2.3dtype: float64If need numpy solutions with numpy.var:
print (np.var(credit_card.values, axis=0))[ 7.04 8. 8. 6.16 6.24]print (np.var(credit_card.values, axis=1))[ 3.44 3.04 7.84 9.76 1.84]Differences are because by default ddof=1 in pandas, but you can change it to 0:
var1 = credit_card.var(ddof=0)print (var1)A 7.04B 8.00C 8.00D 6.16E 6.24dtype: float64var2 = credit_card.var(ddof=0, axis=1)print (var2)0 3.441 3.042 7.843 9.764 1.84dtype: float64