AttributeError:'NoneType'对象没有属性'isnull' [英] AttributeError: 'NoneType' object has no attribute 'isnull'

问题描述

我正在尝试删除空行.但是，当我尝试计算空行以查看是否有效时，出现错误:

I'm trying to remove the empty rows. But when I try to count empty lines to see if it worked, I have an error:

AttributeError:"NoneType"对象没有属性"isnull"

AttributeError: 'NoneType' object has no attribute 'isnull'

我的脚本:

import pandas
import pandas as pd

data = pd.read_csv('data.csv', sep=';')

#print('Table Data\n', data)

data_sum_empty = data.isnull().sum()
#print(data_sum_empty)

data_not_empty = data_sum_empty.dropna(how = 'all', inplace = True)
print(data_not_empty.isnull().sum())

输出:

回溯(最近通话最近一次):

Traceback (most recent call last):

文件.\ data_vis.py"，第12行，在 打印(data_not_empty.isnull().sum())

File ".\data_vis.py", line 12, in print(data_not_empty.isnull().sum())

AttributeError:'NoneType'对象没有属性'isnull'

AttributeError: 'NoneType' object has no attribute 'isnull'

某些数据

flightID        DepTime  ArrTime ActualElapsedTime  AirTime  ArrDelay
BBYYEUVY67527   1416.0   1514.0               58.0     39.0      64.0   
MUPXAQFN40227   2137.0     37.0              120.0     47.0      52.0   
LQLYUIMN79169    730.0    916.0              166.0    143.0     -25.0   
KTAMHIFO10843      NaN      NaN                NaN      NaN       NaN   
BOOXJTEY23623      NaN      NaN                NaN      NaN       NaN   

为什么要重复????我不知道问题出在哪里.如果知道的话，我就不会问了！

推荐答案

使用inplace=True在df上执行操作时，该操作的变量或输出为None.

When you do an operation on a df with inplace=True, the variable or output of that operation is None.

data_sum_empty.dropna(how = 'all', inplace = True)
data_not_empty = data_sum_empty.copy()
print(data_not_empty.isnull().sum())

或

data_not_empty = data_sum_empty.dropna(how = 'all')
print(data_not_empty.isnull().sum())

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