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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