本文整理汇总了Python中astrodata.AstroData.refresh_types方法的典型用法代码示例。如果您正苦于以下问题：Python AstroData.refresh_types方法的具体用法？Python AstroData.refresh_types怎么用？Python AstroData.refresh_types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.refresh_types方法的3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_refresh_1
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import refresh_types [as 别名]
def test_method_refresh_1():
ad = AstroData(TESTFILE)
ad.types.append("FOO")
assert "FOO" in ad.types
ad.refresh_types()
assert "FOO" not in ad.types示例2: test_method_refresh_3
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import refresh_types [as 别名]
def test_method_refresh_3():
ad = AstroData()
ad.open(TESTFILE)
ad.refresh_types()
assert KNOWNSTAT in ad.types示例3: as_astrodata
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import refresh_types [as 别名]
#.........这里部分代码省略.........
adout.phu.header.update('TILED', ['FALSE', 'TRUE'][tile],
'False: Image Mosaicked, True: tiled')
# Set up extname lists with all the extension names that are going to
# be mosaiced and table extension names to associate.
#
if extname is None: # Let's work through all extensions
if self.associated_im_extns:
extname_list = self.associated_im_extns
else:
extname_list = self.im_extnames
else:
self.ref_extname = extname # Redefine reference extname
if extname in self.associated_im_extns:
self.associated_im_extns = [extname] # We need this extname only
extname_list = [extname]
elif extname in self.non_associated_extns:
# Extname is not in associated lists; so clear these lists.
extname_list = []
self.associated_im_extns = []
self.associated_tab_extns = []
elif extname in self.associated_tab_extns:
# Extname is an associated bintable.
extname_list = []
self.associated_im_extns = []
self.associated_tab_extns = [extname]
else:
extname_list = [extname]
# ------ Create mosaic ndarrays, update the output WCS, create an
# AstroData object and append to the output list.
# Make the list to have the order 'sci','var','dq'
svdq = [k for k in ['SCI','VAR','DQ'] if k in extname_list]
# add the rest of the extension names.
extname_list = svdq + list(set(extname_list)-set(svdq))
for extn in extname_list:
# Mosaic the IMAGE extensions now
mosarray = self.mosaic_image_data(extn,tile=tile,block=block,
return_ROI=return_ROI)
# Create the mosaic FITS header using the reference
# extension header.
header = self.mosaic_header(mosarray.shape,block,tile)
# Generate WCS object to be used in the merging the object
# catalog table for updating the objects pixel coordinates
# w/r to the new crpix1,2.
ref_wcs = pywcs.WCS(header)
# Setup output AD
new_ext = AstroData(data=mosarray,header=header)
# Reset extver to 1.
new_ext.rename_ext(name=extn,ver=1)
adout.append(new_ext)
if return_associated_bintables:
# If we have associated bintables with image extensions, then
# merge the tables.
for tab_extn in self.associated_tab_extns:
# adout will get the merge table
new_tab = self.merge_table_data(ref_wcs, tile, tab_extn, block,
update_catalog_method)
adout.append(new_tab[0])
# If we have a list of extension names that have not tables extension
# names associated, then mosaic them.
#
if return_non_associations:
for extn in self.non_associated_extns:
# Now get the list of extver to append
if extn in self.im_extnames: # Image extensions
# We need to mosaic image extensions having more
# than one extver.
#
if adin.count_exts(extn) > 1:
mosarray = self.mosaic_image_data(extn,
tile=tile,block=block,
return_ROI=return_ROI)
# Get reference extension header
header = self.mosaic_header(mosarray.shape,block,tile)
new_ext = AstroData(data=mosarray,header=header)
# Reset extver to 1.
new_ext.rename_ext(name=extn,ver=1)
adout.append(new_ext)
else:
self.log.warning("as_astrodata: extension '"+extn+\
"' has 1 extension.")
adout.append(adin[extn])
if extn in self.tab_extnames: # We have a list of extvers
for extv in self.tab_extnames[extn]:
adout.append(adin[extn,extv])
# rediscover classifications.
adout.refresh_types()
return adout