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src/experiments/algorithms/distribution_curve.py
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@ -26,11 +26,6 @@ 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)