本文整理汇总了Python中astrodata.AstroData.count_exts方法的典型用法代码示例。如果您正苦于以下问题：Python AstroData.count_exts方法的具体用法？Python AstroData.count_exts怎么用？Python AstroData.count_exts使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类astrodata.AstroData的用法示例。
在下文中一共展示了AstroData.count_exts方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_method_count_exts_3
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import count_exts [as 别名]
def test_method_count_exts_3():
ad = AstroData(TESTFILE2)
sci_exts = 1
assert sci_exts == ad.count_exts('SCI')示例2: atd4
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import count_exts [as 别名]
def atd4():
"""
Verify that a mosaicAD class method can create a tiled array from
extensions of a given name.
The test creates a mosaic ndarray using the method mosaic_image_data
with the parameter 'tile=True' which avoids the transformation step.
"""
from astrodata import AstroData
from gempy.adlibrary.mosaicAD import MosaicAD
# This is the default Mosaic function
from gempy.mosaic.gemMosaicFunction import gemini_mosaic_function
print '\n atd4 REQUIREMENT.......'
print ('***** Given an AstroData object, the system shall tile all IMAGE extensions '
'matching a given extension name')
gmos_file='../data/gS20120420S0033.fits'
gsaoi_file='../data/guS20120413S0048.fits'
ad = AstroData(gmos_file)
mo = MosaicAD(ad, gemini_mosaic_function)
# Now use the mosaic_image_data method to create
# the mosaic tile array from the 'SCI' extname.
tile_data = mo.mosaic_image_data(tile=True, extname='SCI')
# ----- Comparing input and output. GMOS image
# The tester should feel free to verify any input and output
# pixel location.
# For example: A GMOS image:
# The lower left corner (2x2) pixels the first GMOS
# data extension. For a GSAOI is the second extension
corner_gmos = ad['SCI',1].data # For a GMOS file
print 'ad["SCI",1].data[:2,:2]\n',corner_gmos[:2,:2]
# From the output mosaic. We should get the same values.
print 'tile_data[:2,:2]\n',tile_data[:2,:2]
# The top right corner of the mosaic
nexts = ad.count_exts('SCI')
block = ad['SCI',nexts].data # There is one amp per block
print '\nad["SCI",last].data[-2:-2]\n',block[-2:,-2:]
# The mosaic top corner
print '\ntile_data[-2:,-2:]\n',tile_data[-2:,-2:]
# ----- GSAOI data
ad = AstroData(gsaoi_file)
mo = MosaicAD(ad, gemini_mosaic_function)
# Now use the mosaic_image_data method to create
# the mosaic tile array from the 'SCI' extname.
tile_data = mo.mosaic_image_data(tile=True, extname='SCI')
print '\nGSAOI data'
corner_gsaoi = ad['SCI',2].data # For a GSAOI file
print 'ad["SCI",2].data\n',corner_gsaoi[:2,:2]
print 'tile_data[:2,:2]\n', tile_data[:2,:2]
# The top right corner of the mosaic
block4 = ad['SCI',4].data # There is one amp per block
print '\nblock4[-2:,-2:]\n',block4[-2:,-2:]
print 'tile_data[-2:,-2:]\n',tile_data[-2:,-2:]示例3: test_method_count_exts_1
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import count_exts [as 别名]
def test_method_count_exts_1():
ad = AstroData(TESTFILE)
ad_len = len(ad)
assert ad_len == ad.count_exts()示例4: displayRequest
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import count_exts [as 别名]
def displayRequest(self, rq):
print "adcc99:", repr(rq)
if "display" in rq:
dispcmd = rq["display"]
dispcmd.update({"timestamp":datetime.now(),
"cmdNum":self.cmdNum})
self.cmdNum += 1
rqcopy = copy(rq)
print "adcc108:", repr(rqcopy)
if "files" in dispcmd:
files = dispcmd["files"]
print "adcc110:", repr(files)
for basename in files:
fileitem = files[basename]
ad = AstroData(fileitem["filename"])
print "adcc115: loaded ",ad.filename
from copy import deepcopy
numsci = ad.count_exts("SCI")
if numsci > 2:
sci = ad[("SCI",2)]
else:
sci = ad[("SCI",1)]
data = sci.data
mean = data.mean()
bottom = data[where(data<mean)].mean()*.80
print "adcc140: bottom", bottom
top = data[where(data>(1.25*mean))].mean()
print "adcc142: top =",top
for sci in ad["SCI"]:
data = uint32(deepcopy(sci.data))
if False:
mean = data.mean()
bottom = data[where(data<mean)].mean()
extver = sci.extver()
if extver == 1 or extver ==3:
bottom = bottom*1.33
print "adcc140: bottom", bottom
top = data[where(data>(1.25*mean))].mean()
print "adcc142: top =",top
bottom = int(bottom)
top = int(top)
print "adcc164, extver -= %d top,bottom = %d,%d " \
%(sci.extver(),top, bottom)
abstop = 65535
factor = abstop/(top-bottom)
data = data - bottom
data = data*(factor)
im = numpy2im(data)
im = im.transpose(Image.FLIP_TOP_BOTTOM)
tdir = get_cache_dir("adcc.display")
dispname = "sci%d-%s_%d.png" % (sci.extver(),
sci.data_label(),
dispcmd["cmdNum"])
nam = os.path.join(tdir, dispname)
put_cache_file(dispname, nam)
url = "/displaycache/"+dispname
baserq = rqcopy["display"]["files"][basename]
if "extdict" not in baserq:
baserq.update({"extdict":{}})
baserq["extdict"].update(
{"SCI%d"%sci.extver(): url }
)
rqcopy["display"]["files"][basename].update({"url": None})
if os.path.exists(nam):
os.remove(nam)
im.save(nam, "PNG")
self.displayCmdHistory.addCmd(rqcopy)
return