我得到一个“无法将字符串转换为浮动:\ufeffage‘”错误,我不知道为什么
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import KFold
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import MinMaxScaler
from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dense
from tensorflow.python.keras.wrappers.scikit_learn import KerasRegressor
import os;
path = pd.read_csv('car.csv')
path.replace(",",".")
dataset=np.loadtxt("car.csv", delimiter=",")
x=dataset[:,0:5]
y=dataset[:,5]
y=np.reshape(y, (-1,1))
scaler = MinMaxScaler()
print(scaler.fit(x))
print(scaler.fit(y))
xscale=scaler.transform(x)
yscale=scaler.transform(y)最后一部分是发生错误的地方。
发布于 2019-09-09 16:59:39
正在读取的文件包含字节、顺序、标记和列名。熊猫read_csv会自动处理这个问题,但np.loadtext不会这样做。将脚本的前三行改为这样会有帮助:
dataset=pd.read_csv('car.csv').valueshttps://stackoverflow.com/questions/57856126
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