Changing array index in Python

Question

I have a fits image. It has an array dimension of 300 x 8500. When I plot the image, it shows the y-axis range from 0 to 300, x-axis range from 0 to 8500. If I want to change the x-axis to 1385.9--1213.9, how do you do it in python? I don't want to change the data value just the index. Currently, after reading in the fits file, I do

data_a=[:,:]

implot= plt.imshow(data_a,cmap=plt.cm.afmhot,interpolation='nearest',aspect='auto',origin='lower')

I would think something like the index = 1385.9 - numpy.arange(0,8500,1)*0.02, will do but only interger or boolean is allowed for index.

index is not a property of the data array; it is just a way of counting rows and columns. — hpaulj
– hpaulj, Commented Apr 9, 2015 at 17:05

plonser · Accepted Answer · 2015-04-09 09:39:56Z

2

Try this

implot= plt.imshow(data_a,cmap=plt.cm.afmhot,
            interpolation='nearest',aspect='auto',origin='lower',
            extent=[1385.9,-1213.9,0,300])

extent adjusts the x and y labeling according to the edge values in

extent = [horizontal_min,horizontal_max,vertical_min,vertical_max]

answered Apr 9, 2015 at 9:39

plonser

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1 Comment

hamster Over a year ago

thank you. Yes. it did. Sorry, I know that this is an old thread (long time ago). I forgot to reply.

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