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AI-learning/linear regression/plt_print.py
2024-06-03 09:38:49 +08:00

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Python

import numpy as np
import matplotlib.pyplot as plt
# 原始数据
points = np.genfromtxt("data1.csv", delimiter=',')
x = points[:, 0]
y = points[:, 1]
# 拟合直线
x_range = np.linspace(min(x), max(x), 100)
y_pred = 0.3880246877670288 * x_range + 1.7214288711547852
# 绘图
plt.figure(figsize=(8, 6))
plt.scatter(x, y, color='blue', label='Original data')
plt.plot(x_range, y_pred, color='red', label='Fitted line')
plt.xlabel('X')
plt.ylabel('Y')
plt.title('Fitting a line to random data')
plt.legend()
plt.grid(True)
plt.savefig('print1.png')