I am trying to loop code over several FITS files to overlay several plots. At the moment I am only getting one graph (see pic) Ideally I would like to loop through several FITS that are in a folder on my Desktop. this is what I have so far.  Im thinking that I will need to define a function to be able to do this. import numpy as np import matplotlib.pyplot as plt from astropy.io import fits from astropy.wcs import WCS from mpl_interactions import ioff, panhandler, zoom_factory %matplotlib widget spec_list = ['~/Desktop/r.HARPN.2018-01-18T14:25:36.145_CCF_A.fits',             '~/Desktop/r.HARPN.2018-01-18T14:20:10.645_CCF_A.fits',             '~/Desktop/r.HARPN.2018-01-18T14:31:00.875_CCF_A.fits',             '~/Desktop/r.HARPN.2018-01-18T14:36:26.373_CCF_A.fits'] for i in spec_list:     hdul = fits.open(i)     data = hdul[1].data     h1 = hdul[1].header     flux = data[1]     w = WCS(h1, naxis=1, relax=False, fix=False)     lam = w.wcs_pix2world(np.arange(len(flux)), 0)[0]      plt.figure(figsize=(5,5)) plt.plot(lam, flux) plt.ylim(0, ) plt.xlabel('RV') plt.ylabel('Normalized CCF') plt.show()

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Greetings

I am trying to loop code over several FITS files to overlay several plots. At the moment I am only getting one graph (see pic)

Ideally I would like to loop through several FITS that are in a folder on my Desktop.

this is what I have so far.  Im thinking that I will need to define a function to be able to do this.

import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
from astropy.wcs import WCS
from mpl_interactions import ioff, panhandler, zoom_factory
%matplotlib widget

spec_list = ['~/Desktop/r.HARPN.2018-01-18T14:25:36.145_CCF_A.fits',
            '~/Desktop/r.HARPN.2018-01-18T14:20:10.645_CCF_A.fits',
            '~/Desktop/r.HARPN.2018-01-18T14:31:00.875_CCF_A.fits',
            '~/Desktop/r.HARPN.2018-01-18T14:36:26.373_CCF_A.fits']


for i in spec_list:
    hdul = fits.open(i)
    data = hdul[1].data
    h1 = hdul[1].header
    flux = data[1]
    w = WCS(h1, naxis=1, relax=False, fix=False)
    lam = w.wcs_pix2world(np.arange(len(flux)), 0)[0]
    
plt.figure(figsize=(5,5))
plt.plot(lam, flux)
plt.ylim(0, )
plt.xlabel('RV')
plt.ylabel('Normalized CCF')
plt.show()

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Figure 1
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Transcribed Image Text:8 00 80000 60000 40000 20000 10 20 Figure 1 RV 30 1 40 50
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Im getting three separate plots, rather than one plot with several graphs overlayed.

Can you advise?

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