In [1]:
from IPython.display import HTML
from IPython.display import Image
import os
from PIL import Image as ImagePIL
import itertools
import time
from astropy.io import fits
import cv2
import matplotlib.patches as patches
import math
%pylab
%matplotlib inline
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data_path = '../../data/ngc628/blanc_fits/'
os.chdir(data_path)
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from matplotlib import colors
from matplotlib import pyplot as plt
# http://www-astro.physics.ox.ac.uk/~mxc/software/
def register_sauron_colormap():
"""
Regitsr the 'sauron' and 'sauron_r' colormaps in Matplotlib
"""
cdict = {'red':[(0.000, 0.01, 0.01),
(0.170, 0.0, 0.0),
(0.336, 0.4, 0.4),
(0.414, 0.5, 0.5),
(0.463, 0.3, 0.3),
(0.502, 0.0, 0.0),
(0.541, 0.7, 0.7),
(0.590, 1.0, 1.0),
(0.668, 1.0, 1.0),
(0.834, 1.0, 1.0),
(1.000, 0.9, 0.9)],
'green':[(0.000, 0.01, 0.01),
(0.170, 0.0, 0.0),
(0.336, 0.85, 0.85),
(0.414, 1.0, 1.0),
(0.463, 1.0, 1.0),
(0.502, 0.9, 0.9),
(0.541, 1.0, 1.0),
(0.590, 1.0, 1.0),
(0.668, 0.85, 0.85),
(0.834, 0.0, 0.0),
(1.000, 0.9, 0.9)],
'blue':[(0.000, 0.01, 0.01),
(0.170, 1.0, 1.0),
(0.336, 1.0, 1.0),
(0.414, 1.0, 1.0),
(0.463, 0.7, 0.7),
(0.502, 0.0, 0.0),
(0.541, 0.0, 0.0),
(0.590, 0.0, 0.0),
(0.668, 0.0, 0.0),
(0.834, 0.0, 0.0),
(1.000, 0.9, 0.9)]
}
rdict = {'red':[(0.000, 0.9, 0.9),
(0.170, 1.0, 1.0),
(0.336, 1.0, 1.0),
(0.414, 1.0, 1.0),
(0.463, 0.7, 0.7),
(0.502, 0.0, 0.0),
(0.541, 0.3, 0.3),
(0.590, 0.5, 0.5),
(0.668, 0.4, 0.4),
(0.834, 0.0, 0.0),
(1.000, 0.01, 0.01)],
'green':[(0.000, 0.9, 0.9),
(0.170, 0.0, 0.0),
(0.336, 0.85, 0.85),
(0.414, 1.0, 1.0),
(0.463, 1.0, 1.0),
(0.502, 0.9, 0.9),
(0.541, 1.0, 1.0),
(0.590, 1.0, 1.0),
(0.668, 0.85, 0.85),
(0.834, 0.0, 0.0),
(1.000, 0.01, 0.01)],
'blue':[(0.000, 0.9, 0.9),
(0.170, 0.0, 0.0),
(0.336, 0.0, 0.0),
(0.414, 0.0, 0.0),
(0.463, 0.0, 0.0),
(0.502, 0.0, 0.0),
(0.541, 0.7, 0.7),
(0.590, 1.0, 1.0),
(0.668, 1.0, 1.0),
(0.834, 1.0, 1.0),
(1.000, 0.01, 0.01)]
}
sauron = colors.LinearSegmentedColormap('sauron', cdict)
sauron_r = colors.LinearSegmentedColormap('sauron_r', rdict)
plt.register_cmap(cmap=sauron)
plt.register_cmap(cmap=sauron_r)
register_sauron_colormap()
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hdulist = fits.open('NGC0628_map_sigstar.fits')
hdulist[0].header
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from astropy.io import fits
from mpl_toolkits.axes_grid1 import make_axes_locatable
fig = plt.figure(figsize=[24,16])
ax = plt.gca()
fname = 'NGC0628_map_sigstar.fits'
data = fits.getdata(fname)
im = plt.imshow(np.squeeze(data), origin='lower', cmap='jet')
plt.title(fname, fontsize=19)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
plt.colorbar(im, cax=cax)
plt.show()
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np.squeeze(data).shape
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data = np.squeeze(data)
data = np.nan_to_num(data)
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X,Y = np.meshgrid(np.arange(0.,len(data[0]),1), np.arange(0.,len(data),1))
Z = data
# ax1,ax2 = plt.subplots(ncols=2, nrows=1, figsize=[16, 8])
fig = plt.figure(figsize=[38, 12])
quadmesh = plt.pcolormesh(X, Y, Z, cmap='sauron')
quadmesh.set_clim(vmin=6., vmax=80.)
# CS = plt.contour(X, Y, Z, levels=[5000, 10000, 20000])
# plt.clabel(CS, inline=1, fontsize=10)
plt.colorbar()
# quadmesh.cmap.set_under('white')
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for fname in os.listdir('.'):
print '=========='
print fname
print '=========='
# hdulist = fits.open(fname)
# for hdu in hdulist:
# print hdu.header
if fname.endswith('.crdownload'):
continue
try:
fig = plt.figure(figsize=[24,16])
ax = plt.gca()
data = fits.getdata(fname)
im = plt.imshow(np.squeeze(data), origin='lower', cmap='jet')
plt.title(fname, fontsize=19)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
plt.colorbar(im, cax=cax)
plt.show()
except Exception, e:
print e
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