arne/EV5_Beeldherk_Bomen
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Compare commits

base: arne:d193bdbee3c5b854075c6ec4835fe266b6690729
Branches Tags
arne:main
..
compare: arne:468f62633c3cd7f5202b2ce0ec1e597361cec673
Branches Tags
arne:main

No commits in common. "d193bdbee3c5b854075c6ec4835fe266b6690729" and "468f62633c3cd7f5202b2ce0ec1e597361cec673" have entirely different histories.
d193bdbee3 ... 468f62633c

1 changed files with 1 additions and 6 deletions
Show Stats Expand all files Collapse all files

7
src/experiments/algorithms/distribution_curve.py
View File

@ -25,12 +25,7 @@ def calcNormalFunc(mean, sd, len):
f = calcNormalFunc(mean, sd, N) f = calcNormalFunc(mean, sd, N)
plt.title("PDF: $\mu = %d$, $\sigma = %d$"%(mean, sd)) plt.title("PDF: $\mu = %d$, $\sigma = %d$"%(mean, sd))
plt.vlines(sd+mean, 0, f[mean-sd], colors='orange')
plt.vlines(mean-sd, 0, f[mean-sd], colors='orange', label='$\sigma$')
plt.vlines(2*sd+mean, 0, f[mean-2*sd], colors='green')
plt.vlines(mean-2*sd, 0, f[mean-2*sd], colors='green', label='$2\sigma$')
plt.legend()
plt.plot(f) plt.plot(f)
plt.grid() plt.grid()
plt.xlim(0, 255) plt.xlim(0, 255)