本文整理汇总了Python中astrodata.AstroData.data_section方法的典型用法代码示例。如果您正苦于以下问题：Python AstroData.data_section方法的具体用法？Python AstroData.data_section怎么用？Python AstroData.data_section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.data_section方法的1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: atd6
# 需要导入模块: from astrodata import AstroData [as 别名]
# 或者: from astrodata.AstroData import data_section [as 别名]
def atd6():
"""
Verify that a MosaicAD method can create a block from a given extension name.
The test creates a mosaic ndarray from the MosaicAD method mosaic_image_data
with the block parameter value (0,0), indicating to output the lower left block.
NOTE: Having one amp per block, the actual extension data is not the same
as the block since it would be trim by the DATASEC image section.
gmos_file='../data/gS20120420S0033.fits'
gsaoi_file='../data/guS20120413S0048.fits'
"""
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 atd6 REQUIREMENT.......'
print ('***** From a given AstroData object, the system shall create a block from '
'a given extension name')
gmos_file='../data/gS20120420S0033.fits'
gsaoi_file='../data/guS20120413S0048.fits'
for file in [gmos_file,gsaoi_file]:
ad = AstroData(file)
print 'Instrument: ',ad.instrument()
mo = MosaicAD(ad, gemini_mosaic_function)
# Now use the mosaic_image_data method to generate
# an output block by using the parameter block and
# value as a tuple (col,row) (0-based) of the block
# you want returned. For GMOS the block values are
# (0,0), (1,0), (2,0).
block=(1,0)
block_data = mo.mosaic_image_data(block=block,tile=True)
# Get the shape: (height, width) in pixels.
print 'block_data.shape:',block_data.shape
extn = block[0] + block[1]*mo.geometry.mosaic_grid[0] + 1
print 'Input shape for 1-amp per detector:',ad['SCI',extn].data.shape
# Check values of the lower 2x2 pixels
print 'Output block [0:2,0:2] pixels:\n',block_data[:2,:2]
if ad.instrument() == 'GSAOI':
# GSAOI FITS extension 1 correspond to block (1,0)
# and extension 2 to block (0,0). DETSEC image section
# indicates this.
extn = [2,1,3,4][extn-1]
# To get the correct segment we need to look at
# DATASEC, in case the data is trimm -as it appears in data_list.
x1,x2,y1,y2 = ad.data_section().as_dict()['SCI',extn]
print 'Input amp DATASEC[x1:x1+2 pixels:\n',\
ad['SCI',extn].data[x1:x1+2,y1:y1+2]
print '\n'