I'm working with a Python program that produces freq below. There are 32
bins. The bins represent 0-7, 8-14, ..., 248 - 255 of a set of
frequencies (integer counts). 0 to 255 are the brightness pixel values
from a 640x480 frame of b/w pixels. I binned 8 into each of 32 bins. One
can easily see
That helped by using the original data of 256 elements. So all the
large values in the array beyond 120 would be tiny bars stretched out
to x of about 127516. OK, now with the original 256 elements I see
some problems.
Individually, they contain some high counts, so I guess they are
bar does what you need.
import numpy as np
import matplotlib.pyplot as plt
freq = np.array( [127516, 8548, 46797, 46648, 21085, 9084, 7466,
6534, 5801,
5051, 4655, 4168, 4343, 3105, 2508, 2082, 1200, 488, 121, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0] )
fig = plt.figure()
Another related question. is there some statistics function that
computes the mean, std. dev., min/max, etc. from a frequency distribution?
--
Wayne Watson (Watson Adventures, Prop., Nevada City, CA)
(121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time)
Obz
