Trying to understand distributions

If I try to follow Robert Kern's advice to us use all of the fitted 
parameters but without success

ax3 = fig.add_subplot(4, 1, 3)
ag1, bg1, cg1 =stats.gamma.fit(counts)
print(ag1, bg1, cg1)
x = np.linspace(stats.gamma.ppf(0.1, ag1),stats.gamma.ppf(0.99, ag1), 
int(ag1))
ax3.plot(x, stats.gamma.pdf(x, ag1, scale = cg1),'r-', lw=5, alpha=0.6, 
label='gamma pdf')

ax4 = fig.add_subplot(4, 1, 4)
ag2, bg2, cg2 =stats.gamma.fit(RErange1[xfield].data)
print(ag2, bg2, cg2)
x = np.linspace(stats.gamma.ppf(0.1, ag2),stats.gamma.ppf(0.99, ag2), 
int(ag2))
ax4.plot(x, stats.gamma.pdf(x, ag2, scale = cg2),'r-', lw=5, alpha=0.6, 
label='gamma pdf')

RK

-- 
========== Art & Ceramics ===========
https://www.instagram.com/ksloan1952/

_______________________________________________
SciPy-User mailing list
[email protected]
https://mail.python.org/mailman/listinfo/scipy-user