首页 > 解决方案 > drop function returning KeyError | Pandas

问题描述

I'm studying for a Data Science Olympiad competition and i have ran into a little problem. All ive done is converted values in a row with values ranging 2-8 into good or bad using a bin, then i used the label encoder to make them 1 or 0

when running this code:

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))

i run into the error:

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'

it says my row values aren't found in the axis but i already specified axis one so shouldn't it cut it?

标签: pythonpython-3.xpandasmachine-learningscikit-learn

解决方案


实际上你的python代码有一个错误,drop函数将列名作为一个列表而不是列本身只是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,您必须在 y 中复制该列,否则会出现错误,因为列“质量”已被删除


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