| 1 | <%inherit file="base.html"/>
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| 2 |
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| 3 | <!-- do the plotting -->
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| 4 | <%
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| 5 | import matplotlib.pyplot as plt
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| 6 | import os.path
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| 7 | import string
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| 8 |
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| 9 | _valid_chars = "_.%s%s" % (string.ascii_letters, string.digits)
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| 10 | def _char_replacer(s):
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| 11 | '''A small utility function that echoes the argument or returns '_' if the
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| 12 | argument is in a list of forbidden characters.
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| 13 | '''
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| 14 | if s not in _valid_chars:
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| 15 | return '_'
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| 16 | return s
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| 17 |
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| 18 | def sanitize(text):
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| 19 | filename = ''.join(_char_replacer(c) for c in text)
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| 20 | return filename
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| 21 |
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| 22 |
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| 23 | frequency_axis = context['data']['doublefourier']['frequency axis']
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| 24 | spatial_axis = context['data']['doublefourier']['spatial axis']
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| 25 | spatial_freq_axis = context['data']['doublefourier']['spatial frequency axis']
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| 26 |
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| 27 | #for i,wn in enumerate(frequency_axis):
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| 28 | for i,wn in enumerate(frequency_axis[:1]):
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| 29 | plt.figure()
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| 30 |
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| 31 | sky_image = context['data']['doublefourier']['sky at time 0'][:,:,i]
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| 32 | plt.imshow(sky_image, interpolation='nearest', origin='lower',
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| 33 | aspect='equal', extent=[spatial_axis[0], spatial_axis[-1],
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| 34 | spatial_axis[0], spatial_axis[-1]])
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| 35 | plt.axis('image')
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| 36 |
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| 37 | plt.colorbar(orientation='vertical')
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| 38 | ## plt.xlabel(beam_image.axes[0].title)
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| 39 | ## plt.ylabel(beam_image.axes[1].title)
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| 40 | ## plt.title(beam_image.title)
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| 41 |
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| 42 | ## plt.grid()
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| 43 | plt.savefig(os.path.join(context['dirname'], 'dbsky1%s.png' % wn))
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| 44 | plt.close()
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| 45 |
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| 46 |
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| 47 | #for i,wn in enumerate(frequency_axis):
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| 48 | for i,wn in enumerate(frequency_axis[:1]):
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| 49 | plt.figure()
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| 50 |
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| 51 | sky_image = context['data']['doublefourier']['sky*beams at time 0'][:,:,i]
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| 52 | plt.imshow(sky_image, interpolation='nearest', origin='lower',
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| 53 | aspect='equal', extent=[spatial_axis[0], spatial_axis[-1],
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| 54 | spatial_axis[0], spatial_axis[-1]])
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| 55 | plt.axis('image')
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| 56 |
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| 57 | plt.colorbar(orientation='vertical')
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| 58 | ## plt.xlabel(beam_image.axes[0].title)
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| 59 | ## plt.ylabel(beam_image.axes[1].title)
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| 60 | ## plt.title(beam_image.title)
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| 61 |
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| 62 | ## plt.grid()
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| 63 | plt.savefig(os.path.join(context['dirname'], 'dbskybeams1%s.png' % wn))
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| 64 | plt.close()
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| 65 |
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| 66 | #for i,wn in enumerate(frequency_axis):
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| 67 | for i,wn in enumerate(frequency_axis[:1]):
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| 68 | plt.figure()
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| 69 |
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| 70 | sky_image = context['data']['doublefourier']['skyfft at time 0'][:,:,i].real
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| 71 | plt.imshow(sky_image, interpolation='nearest', origin='lower',
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| 72 | aspect='equal', extent=[spatial_freq_axis[0], spatial_freq_axis[-1],
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| 73 | spatial_freq_axis[0], spatial_freq_axis[-1]])
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| 74 | plt.axis('image')
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| 75 |
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| 76 | plt.colorbar(orientation='vertical')
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| 77 | ## plt.xlabel(beam_image.axes[0].title)
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| 78 | ## plt.ylabel(beam_image.axes[1].title)
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| 79 | ## plt.title(beam_image.title)
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| 80 |
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| 81 | ## plt.grid()
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| 82 | plt.savefig(os.path.join(context['dirname'], 'skyfft%s.png' % wn))
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| 83 | plt.close()
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| 84 |
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| 85 | #for i,wn in enumerate(frequency_axis):
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| 86 | for i,wn in enumerate(frequency_axis[:1]):
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| 87 | plt.figure()
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| 88 |
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| 89 | sky_image = context['data']['doublefourier']['skyfft at time 0'][:,:,i].imag
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| 90 | plt.imshow(sky_image, interpolation='nearest', origin='lower',
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| 91 | aspect='equal', extent=[spatial_axis[0], spatial_axis[-1],
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| 92 | spatial_axis[0], spatial_axis[-1]])
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| 93 | plt.axis('image')
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| 94 |
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| 95 | plt.colorbar(orientation='vertical')
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| 96 | ## plt.xlabel(beam_image.axes[0].title)
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| 97 | ## plt.ylabel(beam_image.axes[1].title)
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| 98 | ## plt.title(beam_image.title)
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| 99 |
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| 100 | ## plt.grid()
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| 101 | plt.savefig(os.path.join(context['dirname'], 'skyfftimag%s.png' % wn))
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| 102 | plt.close()
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| 103 |
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| 104 | # interferograms
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| 105 | baseline_interferograms = context['data']['doublefourier']['baseline interferograms']
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| 106 | for baseline,interferogram in baseline_interferograms.items():
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| 107 | plt.figure()
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| 108 | plt.plot(interferogram)
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| 109 | plotfile = 'interferogram%s.png' % list(baseline)
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| 110 | plotfile = sanitize(plotfile)
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| 111 | plt.savefig(os.path.join(context['dirname'], plotfile))
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| 112 | plt.close()
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| 113 |
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| 114 | %>
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| 115 |
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| 116 | <!-- link to the plot from html -->
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| 117 |
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| 118 | % for wn in context['data']['doublefourier']['frequency axis'][:1]:
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| 119 | <img src='dbsky1${wn}.png' alt="The sky model should appear here<br>">
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| 120 | <img src='dbskybeams1${wn}.png' alt="The sky*beams should appear here<br>">
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| 121 | <img src='skyfft${wn}.png' alt="The skyfft should appear here<br>">
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| 122 | <img src='skyfftimag${wn}.png' alt="The skyfft.imag should appear here<br>">
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| 123 | % endfor
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| 124 |
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| 125 | % for baseline in baseline_interferograms.keys():
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| 126 | <%
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| 127 | plotfile = 'interferogram%s.png' % list(baseline)
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| 128 | plotfile = sanitize(plotfile)
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| 129 | %>
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| 130 | <img src='${plotfile}' alt="The interferogram should appear here<br>">
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| 131 | % endfor
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