Diffusion.py
From Werner KRAUTH
(Difference between revisions)
| Revision as of 05:26, 6 June 2024 Werner (Talk | contribs) ← Previous diff |
Revision as of 05:27, 6 June 2024 Werner (Talk | contribs) Next diff → |
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| Line 1: | Line 1: | ||
| import random | import random | ||
| import matplotlib.pyplot as plt | import matplotlib.pyplot as plt | ||
| - | + | ||
| N = 5 | N = 5 | ||
| data = [] | data = [] | ||
Revision as of 05:27, 6 June 2024
import random
import matplotlib.pyplot as plt
N = 5
data = []
tmax = 10
for stat in range(100000):
pos = 0
for t in range(tmax):
pos = min(max(pos + random.choice([-1, 0, 1]), 0), N - 1)
data.append(pos)
plt.title('diffusion starting at $x=0$, $t = $' + str(tmax))
plt.hist(data, bins=N, range=(-0.5, N-0.5), density=True)
plt.savefig('diffusion.png')
plt.show()
