Question

我正在为数据科学奥林匹克竞赛而学习，但遇到了一个小问题。我完成的所有操作都是使用bin连续将2-8范围内的值转换为好或坏，然后我使用标签编码器将其设置为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))

我遇到了错误：

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'

它说在轴中找不到我的行值，但是我已经指定了一个轴，所以它不应该切吗？

Answer 1

实际上您的python代码有误，drop函数将列名称作为列表，而不是列本身，只需尝试下面的代码就可以了

#create our feature ad result sets
y = data["quality"]
X = data.drop(["quality"], axis=1)

还有另一件事，在删除之前，您必须在y中复制该列，否则将由于列'quality'被删除而产生错误

返回KeyError的放置函数|大熊猫

1 个答案: