Created
June 8, 2018 14:18
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Visualization of realization of 2D dirichlet random variable with area plot that shows uncertainty.
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import numpy as np | |
import scipy.stats as st | |
import matplotlib.pyplot as plt | |
plt.style.use('ggplot') | |
pmat = np.vstack([np.linspace(1, 20, 20), | |
np.linspace(2, 10, 20), | |
np.linspace(3, 5, 20)]).T | |
p = np.asarray([st.dirichlet.rvs(p_, 200) for p_ in pmat]) | |
_, ax = plt.subplots(1, 1, figsize=(10, 5)) | |
C = ['C0', 'C1', 'C2'] | |
for j in range(200): | |
pvec = p[:, j, :] | |
pvec_ = np.hstack([np.zeros((20, 1)), np.cumsum(pvec, axis=1)]) | |
for i in range(3): | |
ax.fill_between(np.arange(20), | |
pvec_[:, i], | |
pvec_[:, i+1], | |
alpha=.01, | |
facecolor=C[i]); |
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