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[Solved] TypeError: ‘DataFrame’ object is not callable

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error TypeError: ‘DataFrame’ object is not callable in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How TypeError: ‘DataFrame’ object is not callable Error Occurs?

Today I get the following error TypeError: ‘DataFrame’ object is not callable in python.

How To Solve TypeError: ‘DataFrame’ object is not callable Error ?

  1. How To Solve TypeError: 'DataFrame' object is not callable Error ?

    To Solve TypeError: 'DataFrame' object is not callable Error

    Normalized by N-1 by default. This can be changed using the ddof argument

  2. TypeError: 'DataFrame' object is not callable

    To Solve TypeError: 'DataFrame' object is not callable Error

    Normalized by N-1 by default. This can be changed using the ddof argument

Solution 1

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 dataframe
np.random.seed(100)
credit_card = pd.DataFrame(np.random.randint(10, size=(5,5)), columns=list('ABCDE'))
print (credit_card)
   A  B  C  D  E
0  8  8  3  7  7
1  0  4  2  5  2
2  2  2  1  0  8
3  4  0  9  6  2
4  4  1  5  3  4

var1 = credit_card.var()
print (var1)
A     8.8
B    10.0
C    10.0
D     7.7
E     7.8
dtype: float64

var2 = credit_card.var(axis=1)
print (var2)
0     4.3
1     3.8
2     9.8
3    12.2
4     2.3
dtype: float64

If 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    7.04
B    8.00
C    8.00
D    6.16
E    6.24
dtype: float64

var2 = credit_card.var(ddof=0, axis=1)
print (var2)
0    3.44
1    3.04
2    7.84
3    9.76
4    1.84
dtype: float64

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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