def select_files(self, files, start_date=None, end_date=None, filter_dates=None, step=1):
"""Set the images files of the projects. The `files` parameter accept shell like wildcards,
and it is possible to filter files by dates.
Examples
---------
>>> ctx.select_files('/project/files/*.fits')
>>> ctx.select_files('/project/files/*.fits', start_date=datetime.datetime(2000, 1, 1))
>>> ctx.select_files('/project/files/*.fits', step=2)
Parameters
----------
files : str
Path to the file(s). Accept shell like wildcards.
start_date : :class:`datetime.datetime`, optional
Reject files with date < `start_date`.
end_date : :class:`datetime.datetime`, optional
Reject files with date > `end_date`.
filter_dates : a list of :class:`datetime.datetime`, optional
Reject files with date in `filter_dates`
step : int, optional
"""
if isinstance(files, str):
files = glob.glob(files)
self.files = imgutils.fast_sorted_fits(files, start_date=start_date,
end_date=end_date, filter_dates=filter_dates, step=step)
print "Number of files selected:", len(self.files)
def _test_load_3c120_config():
import astropy.cosmology as cosmology
cosmology.default_cosmology.set(cosmology.FlatLambdaCDM(H0=71 * u.km / u.s / u.Mpc, Om0=0.27))
BASE_DIR = os.path.expanduser("~/data/3c120/mojave")
ctx = project.AnalysisContext()
# data configuration
ctx.config.data.data_dir = os.path.join(BASE_DIR, "run001")
ctx.config.data.object_z = 0.033
def get_bg(ctx, img):
return img.data[:, :800]
def build_mask(ctx):
stack = ctx.get_ref_image()
segments = wise.SegmentedImages(stack)
segments.connected_structure()
mask = segments.get_mask(segments.sorted_list()[-1])
mask = imgutils.Image.from_image(stack, mask)
return mask
def pre_process(ctx, img):
img.crop([3, -10], [-22, 3], projection=ctx.get_projection(img))
# img.crop([10, -20], [-40, 10], projection=ctx.get_projection(img))
# img.crop([2, -4], [-5, 2], projection=ctx.get_projection(img))
def get_core(ctx, img):
bg = ctx.get_bg(img)
ctx.pre_process(img)
cmp_y = lambda x, y: cmp(x.get_coord()[1], y.get_coord()[1])
core = wiseutils.align_image_on_core(img, bg, cmp_y)
core = ctx.get_projection(img).p2s(plotutils.p2i(core))
return core
ctx.config.data.bg_fct = get_bg
ctx.config.data.mask_fct = build_mask
ctx.config.data.pre_process_fct = pre_process
ctx.config.data.core_offset_filename = "mojave_core.dat"
ctx.config.data.core_offset_fct = get_core
# finder configuration
ctx.config.finder.min_scale = 1
ctx.config.finder.max_scale = 4
ctx.config.finder.alpha_threashold = 3
ctx.config.finder.exclude_noise = False
ctx.config.finder.ms_dec_klass = wds.WaveletMultiscaleDecomposition
files = glob.glob(os.path.join(BASE_DIR, "icn/**.icn.fits"))
start_date = end_date = filter_dates = None
start_date = datetime.datetime(2002, 1, 1)
end_date = datetime.datetime(2006, 1, 1)
# filter_dates = [datetime.datetime(2000, 12, 30)]
ctx.files = imgutils.fast_sorted_fits(files, start_date=start_date, end_date=end_date, filter_dates=filter_dates)
return ctx
def main():
sh.init(libwise.get_version(), USAGE)
start_date = get_date(sh.get_opt_value('start-date', 's'), 'start-date')
end_date = get_date(sh.get_opt_value('end-date', 'e'), 'end-date')
filter_dates = [get_date(k, 'filter-date') for k in sh.get_opt_value('filter-date', 'f', multiple=True)]
output_filename = sh.get_opt_value('output', 'o', default='files')
args = sh.get_args(min_nargs=1)
files = imgutils.fast_sorted_fits(args, start_date=start_date,
end_date=end_date, filter_dates=filter_dates)
print "Outputing %s files in '%s'" % (len(files), output_filename)
with open(output_filename, 'w') as f:
f.write("\n".join(files) + "\n")
def select_files(self,
files,
start_date=None,
end_date=None,
filter_dates=None,
step=1):
"""Set the images files of the projects. The `files` parameter accept shell like wildcards,
and it is possible to filter files by dates.
Examples
---------
>>> ctx.select_files('/project/files/*.fits')
>>> ctx.select_files('/project/files/*.fits', start_date=datetime.datetime(2000, 1, 1))
>>> ctx.select_files('/project/files/*.fits', step=2)
Parameters
----------
files : str
Path to the file(s). Accept shell like wildcards.
start_date : :class:`datetime.datetime`, optional
Reject files with date < `start_date`.
end_date : :class:`datetime.datetime`, optional
Reject files with date > `end_date`.
filter_dates : a list of :class:`datetime.datetime`, optional
Reject files with date in `filter_dates`
step : int, optional
"""
if isinstance(files, str):
files = glob.glob(files)
self.files = imgutils.fast_sorted_fits(files,
start_date=start_date,
end_date=end_date,
filter_dates=filter_dates,
step=step)
print "Number of files selected:", len(self.files)
def main():
sh.init(libwise.get_version(), USAGE)
start_date = get_date(sh.get_opt_value('start-date', 's'), 'start-date')
end_date = get_date(sh.get_opt_value('end-date', 'e'), 'end-date')
filter_dates = [
get_date(k, 'filter-date')
for k in sh.get_opt_value('filter-date', 'f', multiple=True)
]
output_filename = sh.get_opt_value('output', 'o', default='files')
args = sh.get_args(min_nargs=1)
files = imgutils.fast_sorted_fits(args,
start_date=start_date,
end_date=end_date,
filter_dates=filter_dates)
print "Outputing %s files in '%s'" % (len(files), output_filename)
with open(output_filename, 'w') as f:
f.write("\n".join(files) + "\n")