Pandas를 사용하여 csv 파일을 가져 오는 동안 오류가 발생했습니다.

팬더를 사용하여 CSV 파일의 항목을 읽은 다음 인코딩하려고합니다.

내 코드는 다음과 같습니다.

import sklearn
from sklearn.utils import shuffle
from sklearn.neighbors import KNeighborsClassifier
import pandas as pd
import numpy as np
from sklearn import linear_model, preprocessing

data = pd.read_csv("car.data")  # import in data
print(data.head())  # show the top few lines of data

le = preprocessing.LabelEncoder()  # object to change data into a numerical value
buying = le.fit_transform(list(data["buying"]))  # input buying column into object le
maint = le.fit_transform(list(data["maint"]))  # input maint column into object le
door = le.fit_transform(list(data["door"]))  # input door column into object le
persons = le.fit_transform(list(data["persons"]))  # input persons column into object le
lug_boot = le.fit_transform(list(data["lug_boot"]))  # input lug_boot column into object le
safety = le.fit_transform(list(data["safety"]))  # input safety column into object le
cls = le.fit_transform(list(data["class"]))  # input class column into object le

predict = "class"  # what will be predicted

x = list(zip(buying, maint, door, persons, lug_boot, safety))  # will put all of the values into one list (x)
y = list(cls)  # will convert numpy array (cls) into list

x_train, x_test, y_train, y_test = sklearn.model_selection.train_test_split(x, y, test_size = 0.1)  # create new data so the machine can't memorise results

print(x_train, y_test)  # show variables to test its working

그리고 내 car.data파일 의 처음 몇 줄은

buying, maint, door, persons, lug_boot, safety, class
vhigh,vhigh,2,2,small,low,unacc
vhigh,vhigh,2,2,small,med,unacc
vhigh,vhigh,2,2,small,high,unacc
vhigh,vhigh,2,2,med,low,unacc
vhigh,vhigh,2,2,med,med,unacc
vhigh,vhigh,2,2,med,high,unacc
vhigh,vhigh,2,2,big,low,unacc
vhigh,vhigh,2,2,big,med,unacc
vhigh,vhigh,2,2,big,high,unacc

나는 모든 것을 올바르게하고 있다고 생각하지만 다음과 같은 오류가 발생합니다.

Traceback (most recent call last):
  File "/opt/anaconda3/envs/tensor/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2895, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 70, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 101, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1675, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1683, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'maint'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/Users/name/PycharmProjects/Machine_learning/KNN/KNN Working File.py", line 13, in <module>
    maint = le.fit_transform(list(data["maint"]))  # input maint column into object le
  File "/opt/anaconda3/envs/tensor/lib/python3.6/site-packages/pandas/core/frame.py", line 2906, in __getitem__
    indexer = self.columns.get_loc(key)
  File "/opt/anaconda3/envs/tensor/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2897, in get_loc
    raise KeyError(key) from err
KeyError: 'maint'

나는 왜 그것이 maint변수가 아닌 변수 에 대한 오류를 주 었는지에 대해 가장 혼란 스럽습니다 buying. 매우 혼란 스럽기 때문에 내가 뭘 잘못하고 있는지 알려주십시오. 감사.