"src/git@lab.compute.dtu.dk:manli/FCN-CD-PyTorch.git" did not exist on "4d7e2b889c795101cceae7b1178ae70182249f81"
Newer
Older
from matplotlib.pyplot import figure, hist, plot, show, subplot, title
# Number of samples
N = 200
# Mean
mu = 17
# Standard deviation
s = 2
# Number of bins in histogram
nbins = 20
# Generate samples from the Normal distribution
# or equally:
X = np.random.randn(N).T * s + mu
# Plot the samples and histogram
figure()
title("Normal distribution")
subplot(1, 2, 1)
plot(X, "x")
subplot(1, 2, 2)
hist(X, bins=nbins)
# Compute empirical mean and standard deviation
mu_ = X.mean()
s_ = X.std(ddof=1)
print("Theoretical mean: ", mu)
print("Theoretical std.dev.: ", s)
print("Empirical mean: ", mu_)
print("Empirical std.dev.: ", s_)
show()