def read(filename, file=None):
result = qdict.qdict()
data = fits.read(file or open(filename, 'rb'))
extra = ''.join([record[len(SPECIAL_RECORD_HEADER):]
for record in data.special_records
if record.startswith(SPECIAL_RECORD_HEADER)])
result.update(meta.decode(extra))
result.reduce_quality(0.2) #We want these overridden by external data if necessary.
result['palette', 0.1, filename] = views.palette.grays
naxis = data.hdu[0]['NAXIS*']
ctype = data.hdu[0]['CTYPE*']
crpix = data.hdu[0]['CRPIX*']
if crpix:
result['center', 1.0, filename] = (crpix[0] - 1, crpix[1] - 1)
if ctype and ctype[-1] == 'HISTORY' and ctype[-2] == 'CHART':
atlases = []
for atlasno in range(naxis[-1]):
atlas = []
atlases.append(atlas)
for chartno in range(naxis[-2]):
chart = data.hdu[0].data[atlasno, chartno, ...]
atlas.append(chart.transpose())
formats.set_atlases(result, atlases)
else:
chart = data.hdu[0].data.transpose()
result['chart(%d,%d)' % formats.get_subscripts(filename), 1.0, filename] = chart
return result
def read(filename, file=None):
result = qdict.qdict()
p = png.Reader(file=file or open(filename, 'rb'))
width, height, pixels, pmeta = p.read()
if 'text' in pmeta:
for text_item in pmeta['text']:
print text_item
if text_item['key'] == META_TAG:
result.update(meta.decode(text_item['value']))
result['palette', 0.7, filename] = views.palette.from_rgb(p.palette())
chart = numpy.zeros(shape=(width, height), dtype=numpy.uint8)
chart[:,:] = numpy.transpose(list(pixels))
result['chart(%d,%d)' % formats.get_subscripts(filename),
1.0, filename] = chart
print result
return result