Python 类型错误：“DataFrame”对象不可调用
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/41973423/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
TypeError: 'DataFrame' object is not callable
提问by Amar Shivaram
I've programmed these for calculating Variance
我已经编写了这些来计算方差
import pandas as pd
import xlrd
import numpy as np
import matplotlib.pyplot as plt
credit_card=pd.read_csv("default_of_credit_card_clients_Data.csv",skiprows=1)
print(credit_card.head())
for col in credit_card:
var[col]=np.var(credit_card(col))
print(var)
I'm getting this error
我收到这个错误
Traceback (most recent call last): File "C:/Python34/project.py", line 11, in var[col]=np.var(credit_card(col)) TypeError: 'DataFrame' object is not callable
回溯（最近一次调用）：文件“C:/Python34/project.py”，第 11 行，在 var[col]=np.var(credit_card(col)) TypeError: 'DataFrame' object is not callable
A solution will be appreciated.
一个解决方案将不胜感激。
回答by jezrael
It seems you need DataFrame.var:
看来你需要DataFrame.var：
Normalized by N-1 by default. This can be changed using the ddof argument
默认按 N-1 归一化。这可以使用 ddof 参数进行更改
var1 = credit_card.var()
Sample:
样本：
#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:
如果需要 numpy 解决方案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=1in pandas, but you can change it to 0:
差异是因为默认情况下ddof=1在 中pandas，但您可以将其更改为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
