**import pandas as pd
from sklearn.decomposition import PCA
from matplotlib import pyplot as plt
from sklearn.preprocessing import StandardScaler
from sklearn.impute import SimpleImputer
# df = pd.read_csv("label_0_uab删除了空值的数据1005&剔除不正常电压配变.csv")
# Load data from CSV file
data = pd.read_csv("label_0_uab删除了空值的数据1005&剔除不正常电压配变.csv").iloc[:,3:] #engine='openpyxl'
# 创建插补器对象,将缺失值填充为0
imputer = SimpleImputer(strategy='constant', fill_value=0)
# 使用插补器填充缺失值
data_scaled_filled = imputer.fit_transform(data)
scaler = StandardScaler()
data_scaled = scaler.fit_transform(data_scaled_filled)**
上面的程序是一部分,整个程序运行起来一点问题没有,但是当尝试用控制台单独运行pd.read_csv()这条语句时,不管怎样都会报错,错误截图如下