最小二乘法python代码

Sure, here is an example of Python code for implementing the least squares method:

import numpy as np

# Generate some test data
x = np.arange(0, 10, 0.1)
y = 2 * x + 1 + np.random.randn(len(x))

# Calculate the coefficients (slope and intercept) using the least squares method
X = np.vstack([x, np.ones(len(x))]).T
m, c = np.linalg.lstsq(X, y, rcond=None)[0]

# Print the coefficients
print("Slope: %.2f, Intercept: %.2f" % (m, c))

Hope this helps!