def runrandom(img, oimg):
hdu = pyfits.open(img)
data = hdu[0].data
#make a new image with filling in the zero pixels with random values
m, s = iterstat(data[data > 0])
rdata = np.random.normal(loc=m, scale=s, size=data.shape)
hdu[0].data[data == 0] = rdata[data == 0]
if os.path.isfile(oimg): os.remove(oimg)
hdu.writeto(oimg)
def runrandom(img, oimg):
hdu=pyfits.open(img)
data=hdu[0].data
#make a new image with filling in the zero pixels with random values
m,s=iterstat(data[data>0])
rdata=np.random.normal(loc=m, scale=s,size=data.shape)
hdu[0].data[data==0]=rdata[data==0]
if os.path.isfile(oimg): os.remove(oimg)
hdu.writeto(oimg)
import sys, os
import numpy as np
import pyfits
from makeflat import iterstat
if __name__=='__main__':
infile=open(sys.argv[1]).readlines()
for img in infile:
img=img.strip()
hdu=pyfits.open(img)
data=hdu[0].data
m,s=iterstat(data[data>0])
hdu[0].data[data>0]=data[data>0]-m
oimg=img
if os.path.isfile(oimg): os.remove(oimg)
hdu.writeto(oimg)
import sys, os
import numpy as np
import pyfits
from makeflat import iterstat
if __name__ == '__main__':
infile = open(sys.argv[1]).readlines()
for img in infile:
img = img.strip()
hdu = pyfits.open(img)
data = hdu[0].data
m, s = iterstat(data[data > 0])
hdu[0].data[data > 0] = data[data > 0] - m
oimg = img
if os.path.isfile(oimg): os.remove(oimg)
hdu.writeto(oimg)
