Hello Adrian,
I'm not sure I understood well, but if you want a histogram with logarithmic
yscale, you may want to use something like:
import pylab
pylab.subplot(111, yscale='log')
pylab.histogram(some_nice_data)
pylab.show()
regrads Matthias
On Monday 14 April 2008 22:28:49 Adrian Price-Whelan wrote:
> Hello -
>
> I haven't been able to find any useful documentation about semilogy
> and exactly how i can implement it into a Histogram. I'm simply trying
> to create a histogram of a lot of data with a y-axis scaled
> logarithmically. Specifically I am creating a pixel histogram of a
> FITS image...for anyone who cares. Here is the code i've used to
> create the histogram:
>
> #! /usr/bin/env python
>
> import Image
> import pyfits
> import numpy
> import numarray
> from pylab import *
>
> #Open each image
> Gim = pyfits.open('Gimage.fits')
>
> #Create arrays of the data from each image
> Garray = Gim[0].data
>
> onedarray = []
>
> xsize,ysize = Garray.shape
>
> for x in xrange(xsize):
> for y in xrange(ysize):
> if Garray[x,y] >= -0.02:
> if Garray[x,y] <= 0.6:
> onedarray.append(Garray[x,y])
>
> g_hist = hist(onedarray,bins=100)
> axis([-0.05,0.65,1,90000])
>
> xlabel('Pixel Number')
> ylabel('How Many of Each Pixel')
> savefig('test_histPANDA.png')
> show()
>
> thanks!!
>
> -Adrian
>
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