Allows to plot fits files produced as output

scripts/plotgrid_fits.py

+#!/usr/bin/python3
+import numpy as np
+import matplotlib.pyplot as plt
+from astropy.io import fits
+real_fits = "/home/emanuele/hpc_imaging/test_fits_real.fits"
+imag_fits = "/home/emanuele/hpc_imaging/test_fits_img.fits"
+nplanes = 1
+
+
+with fits.open(real_fits) as hdu_real:
+	img_hdu_real = np.array(hdu_real[0].data)
+
+with fits.open(imag_fits) as hdu_imag:
+	img_hdu_imag = np.array(hdu_imag[0].data)
+
+
+xaxis = int(np.sqrt(img_hdu_real.size))
+yaxes = xaxis
+residual = np.vectorize(complex)(img_hdu_real, img_hdu_imag)
+
+cumul2d = residual.reshape((xaxis,yaxes,nplanes), order='F')
+
+for i in range(nplanes):
+    gridded = np.squeeze(cumul2d[:,:,i])
+    ax = plt.subplot()
+    img = ax.imshow(np.abs(np.fft.fftshift(gridded)), aspect='auto', interpolation='none', origin='lower')
+    ax.set_xlabel('cell')
+    ax.set_ylabel('cell')
+    cbar = plt.colorbar(img)
+    cbar.set_label('norm(FFT)',size=18)
+    figname='fits_image_' + str(i) + '.png'
+    plt.savefig(figname)