问为什么我不能在Python中使用一维数组运行这个逻辑回归脚本？

EN

import numpy as np
import pandas as pd
from sklearn.datasets import load_breast_cancer
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from matplotlib import rcParams
from sklearn.linear_model import LogisticRegression

rcParams['figure.figsize'] = 14, 7
rcParams['axes.spines.top'] = False
rcParams['axes.spines.right'] = False

data = pd.read_csv('file.txt', sep=",")

df = pd.concat([
    pd.DataFrame(data, columns=data.columns),
    pd.DataFrame(data, columns=['toAnalyse'])
], axis=1)

X = df.drop(['notimportant', 'test', 'toAnalyse'], axis=1)
y = df['toAnalyse']
#y.drop(y.columns[0], axis=1, inplace=True)   <----------------- From 2 to 0 variables when running this?
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)

ss = StandardScaler()
X_train_scaled = ss.fit_transform(X_train)
X_test_scaled = ss.transform(X_test)

ValueError: y should be a 1d array, got an array of shape (258631, 2) instead.

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 344842 entries, 0 to 344841
Data columns (total 2 columns):
 #   Column             Non-Null Count   Dtype  
---  ------             --------------   -----  
 0   toAnalyse          343480 non-null  float64
 1   toAnalyse          343480 non-null  float64

ValueError: y should be a 1d array, got an array of shape (258631, 0) instead.