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 going 
off scale.  This is unfortunate,  since  the original data was put into 
256 bins by  hardware from 307,000 + values. It looks like what I should 
be feeding hist, but recreating the 307K from the 256 seems something of 
a waste in that it is undoing what the hardware did. Is there some graph 
function that will treat the input as already binned? For example, if I 
have [10, 7, 5], I want to see a histogram of three bars, one at x =0 of 
height 10, one at x=1 of height 6, and 2 of height 5.  x might be some 
other numbers like 18.2, 46.3 and 60.1.

Pierre de Buyl wrote:
> Hello,
>
> hist takes the raw data directly, and not a histogram already computed.
>
> If data is an array containing your pixels,
> hist(data, bins = range(0,255,8) , normed=True) should do what you expect
>
> The code you sent adequately counts 13 occurences for 0 in freq and 
> one at 121, with some rescaling.
>
> Pierre
>
> Le 30 nov. 09 à 16:52, Wayne Watson a écrit :
>
>> 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 the various bins are of a different height. However,
>> the result is fixed height bar from 0 to 10, and a shorter single bar
>> from about 120 to 130. The x-scale goes from 0 to 140 and not from 0 to
>> 255, or somewhere in that range. It seems like hist is clumping
>> everything into two groups. I've changed the range parameter several
>> times and get the same result. I'd send an attachment of the figure, but
>> that often seems to delay a post in most of these Python mail lists.
>>
>> freq  =  [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 = pylab.figure()
>> v = array(freq)
>> plt.hist(v, bins=linspace(0,256,nplt_bins+1), normed=1, range=(30,200))
>> pylab.show()
>>
>> -- 
>>            Wayne Watson (Watson Adventures, Prop., Nevada City, CA)
>
>

-- 
           Wayne Watson (Watson Adventures, Prop., Nevada City, CA)

             (121.015 Deg. W, 39.262 Deg. N) GMT-8 hr std. time)
              Obz Site:  39° 15' 7" N, 121° 2' 32" W, 2700 feet  
                
          The popular press and many authorities believe the number
          of pedifiles that prowl the web is 50,00. There are no
          figures that support this. The number of children below
          18 years of age kidnapped by strangers is 1 in 600,00,
          or 115 per year. -- The Science of Fear by D. Gardner
 
                    Web Page: <www.speckledwithstars.net/>


------------------------------------------------------------------------------
Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day 
trial. Simplify your report design, integration and deployment - and focus on 
what you do best, core application coding. Discover what's new with
Crystal Reports now.  http://p.sf.net/sfu/bobj-july
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Reply via email to