Created
April 5, 2022 09:17
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import numpy as np | |
from scipy.stats import norm | |
import matplotlib.pyplot as plt | |
mu_in = 5 | |
std_in = 5.0 | |
size = 100 | |
def norm_dist(mu, std, size=100): | |
"""Generate normal distribution.""" | |
return norm.rvs(mu, std, size=size) | |
data = norm_dist(mu_in, std_in, size=size) | |
# Fit the normal distribution | |
mu, std = norm.fit(data) | |
# Make some plots | |
x = np.linspace(-40, 40, 100) | |
y = norm.pdf(x, mu, std) | |
title = f"Fit results: {mu=:.2f}, {std=:.2f}" | |
fig, ax = plt.subplots() | |
ax.hist(data, bins=50, density=True) | |
ax.plot(x, y, 'k', linewidth=2) | |
ax.set_title(title) | |
plt.show() |
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