我正在为数据科学奥林匹克竞赛学习，遇到了一个小问题。我所做的一切都是使用一个bin将值范围为2-8的一行中的值转换为好或坏，然后我使用标签编码器使它们成为1或0
运行此代码时：
import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler, LabelEncoder
#load our data file
data = pd.read_csv("data.csv", delimiter=";")
#classify wines as good or bad
bins = (1,5,8)
group_names = ['bad', "good"]
data["quality"] = pd.cut(data["quality"], bins=bins, labels=group_names)
print(data["quality"].unique())
#list the labels as good or bad to 1 or 0
label_quality = LabelEncoder()
data["quality"] = label_quality.fit_transform(data["quality"])
#create our feature ad result sets
X = data.drop(data["quality"], axis=1)
y = data["quality"]
#create our training sets
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=10)
print(data.head(100))
我遇到错误：
Traceback (most recent call last):
File "main.py", line 21, in <module> X = data.drop(data["quality"], axis=1)
File "/home/runner/.local/share/virtualenvs/python3/lib/python3.8/site-packages/pandas/core/frame.py", line 3990, in drop return super().drop(
File "/home/runner/.local/share/virtualenvs/python3/lib/python3.8/site-packages/pandas/core/generic.py", line 3936, in drop obj = obj._drop_axis(labels, axis, level=level, errors=errors)
File "/home/runner/.local/share/virtualenvs/python3/lib/python3.8/site-packages/pandas/core/generic.py", line 3970, in _drop_axis new_axis = axis.drop(labels, errors=errors)
File "/home/runner/.local/share/virtualenvs/python3/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 5018, in drop raise KeyError(f"{labels[mask]} not found in axis")
KeyError: '[0 0 0 ... 1 0 1] not found in axis'
它说我的行值没有在轴中找到，但我已经指定了轴一，所以它不应该剪切它吗？
实际上，python代码中有一个错误，drop函数将列名作为列表，而不是列本身。只需尝试下面的代码，它应该可以正常工作
#create our feature ad result sets
y = data["quality"]
X = data.drop(["quality"], axis=1)
在删除之前还有一件事，你必须将该列复制到y中，否则它将出现错误，因为列"质量"已被删除