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AI-learning/linear regression/np_genPoints.py
2024-05-23 20:43:52 +08:00

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Python

import numpy as np
import csv
# 定义回归方程参数
w = 1.35
b = 2.89
# 生成x值范围
x_min = 0
x_max = 10
# 生成100个在x轴附近的点
x = np.linspace(x_min, x_max, 100)
# 根据回归方程计算y值
y = w * x + b
# 添加一些噪声,使数据更真实
y += np.random.normal(scale=0.5, size=y.shape)
# 将x和y合并成一个二维数组
data = np.column_stack((x, y))
# 将数据保存到CSV文件
with open('data1.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile)
# 写入表头
# writer.writerow(['x', 'y'])
# 写入数据
writer.writerows(data)