尝试在python中对数组的进行线性回归，但我一直收到错误消息“array一定不能包含infs或NaNs”。没有infs或NaNs

from sklearn.linear_model import LinearRegression
import numpy as np

x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 8, 10])

np.isnan(x).any()  # 检查x是否包含缺失值
np.isinf(x).any()  # 检查x是否包含无穷大
np.isnan(y).any()  # 检查y是否包含缺失值
np.isinf(y).any()  # 检查y是否包含无穷大

x = x[~np.isnan(x) & ~np.isinf(x)]
y = y[~np.isnan(y) & ~np.isinf(y)]

from sklearn.linear_model import LinearRegression
import numpy as np

x = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 8, 10])

if np.isnan(x).any() or np.isinf(x).any() or np.isnan(y).any() or np.isinf(y).any():
    x = x[~np.isnan(x) & ~np.isinf(x)]
    y = y[~np.isnan(y) & ~np.isinf(y)]

model = LinearRegression()
model.fit(x.reshape(-1, 1), y)