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I have two vectors of data and I've put them into matplotlib.scatter(). Now I'd like to over plot a linear fit to these data. How would I do this? I've tried using scikitlearn and np.scatter.

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import numpy as np
from numpy.polynomial.polynomial import polyfit
import matplotlib.pyplot as plt

# Sample data
x = np.arange(10)
y = 5 * x + 10

# Fit with polyfit
b, m = polyfit(x, y, 1)

plt.plot(x, y, '.')
plt.plot(x, b + m * x, '-')
plt.show()

enter image description here


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
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