Python Astropy Cutout2D,提升值错误

Python Astropy Cutout2D,提升值错误,python,extraction,valueerror,astropy,fits,Python,Extraction,Valueerror,Astropy,Fits,我正在尝试使用Astropy的Cutout2D测试。我的目标是使用RA和DEC,为我在地面真相目录中的每个来源提取一个.png图像 文件的标题: SIMPLE = T / BITPIX = -32 / NAXIS =

我正在尝试使用Astropy的Cutout2D测试。我的目标是使用RA和DEC,为我在地面真相目录中的每个来源提取一个.png图像

文件的标题:

SIMPLE  =                    T  /                                               
BITPIX  =                  -32  /                                               
NAXIS   =                    4  /                                               
NAXIS1  =                30000  /                                               
NAXIS2  =                30000  /                                               
NAXIS3  =                    1  /                                               
NAXIS4  =                    1  /                                               
EXTEND  =                    T  /                                               
BSCALE  =    1.00000000000E+00  /                                               
BZERO   =    0.00000000000E+00  /                                               
BLANK   =                   -1  /                                               
BUNIT   = 'JY/BEAM '  /                                                         
DATE-OBS= '2000-01-01T12:00:00.0'  /                                            
CRPIX1  =    1.63840000000E+04  /                                               
CDELT1  =   -6.71387000000E-05  /                                               
CRVAL1  =    0.00000000000E+00  /                                               
CTYPE1  = 'RA---SIN'  /                                                         
CRPIX2  =    1.63840000000E+04  /                                               
CDELT2  =    6.71387000000E-05  /                                               
CRVAL2  =   -3.00000000000E+01  /                                               
CTYPE2  = 'DEC--SIN'  /                                                         
CRPIX3  =    1.00000000000E+00  /                                               
CDELT3  =    4.20000000000E+08  /                                               
CRVAL3  =    1.40000000000E+09  /                                               
CTYPE3  = 'FREQ    '  /                                                         
CRPIX4  =    1.00000000000E+00  /                                               
CDELT4  =    1.00000000000E+00  /                                               
CRVAL4  =    1.00000000000E+00  /                                               
CTYPE4  = 'STOKES  '  /        
...      
我使用从文档中复制的小脚本:

hdu = fits.open(file)[0]
data=hdu.data
w = WCS(file)
    position = SkyCoord(24.17*u.deg, 15.78*u.deg,frame='fk5',equinox='J2000.0'  
    size = u.Quantity((10,10), u.arcsec)  
    cutout = Cutout2D(data, posit

ion, size, fill_value=np.nan,  wcs=w) 
我明白了:

Traceback (most recent call last):
  File "###/Cutoff_patches.py", line 113, in <module>
    cutout = Cutout2D(data, position, size,   wcs=w)
  File "##_venv/lib/python3.5/site-packages/astropy/nddata/utils.py", line 686, in __init__
    return_position=True)
  File "##_venv/lib/python3.5/site-packages/astropy/nddata/utils.py", line 211, in extract_array
    shape, position, mode=mode)
  File "##_venv/lib/python3.5/site-packages/astropy/nddata/utils.py", line 91, in overlap_slices
    raise ValueError('"large_array_shape" and "small_array_shape" must '
ValueError: "large_array_shape" and "small_array_shape" must have the same number of dimensions.
而且

data=np.squeeze(data)
但我对他们两个都有同样的感受:

Traceback (most recent call last):
  File "##/Cutoff_patches.py", line 114, in <module>
    cutout = Cutout2D(data, position, size,   wcs=w)
  File "##venv/lib/python3.5/site-packages/astropy/nddata/utils.py", line 686, in __init__
    return_position=True)
  File "/##_venv/lib/python3.5/site-packages/astropy/nddata/utils.py", line 211, in extract_array
    shape, position, mode=mode)
  File "##_venv/lib/python3.5/site-packages/astropy/nddata/utils.py", line 106, in overlap_slices
    raise NoOverlapError('Arrays do not overlap.')
astropy.nddata.utils.NoOverlapError: Arrays do not overlap.

Process finished with exit code 1
回溯(最近一次呼叫最后一次):
文件“##/Cutoff_patches.py”,第114行,在
切口=切口2D(数据、位置、尺寸、wcs=w)
文件“##venv/lib/python3.5/site packages/astropy/nddata/utils.py”,第686行,在u init中__
返回(位置=真)
文件“/####venv/lib/python3.5/site packages/astropy/nddata/utils.py”,第211行,摘录数组
形状、位置、模式=模式)
文件“###venv/lib/python3.5/site packages/astropy/nddata/utils.py”,第106行,重叠切片
raise NoOverlapError('数组不重叠')
astropy.nddata.utils.NoOverlapError:数组不重叠。
进程已完成,退出代码为1

您可以将FITS文件缩小为2D图像,然后剪切2D将更容易工作:

hdu = fits.open(file)[0]
data = hdu.data[0,0,:,:]   # checkout image data
# modify header keywords
hdu.header['NAXIS'] = 2
hdu.header['WCSAXES']=2
# delete all keywords of additional axis
del hdu.header['NAXIS3']
del hdu.header['NAXIS4']
del hdu.header['CRPIX3']
...

w = WCS(hdu.header)
position = SkyCoord(24.17*u.deg, 15.78*u.deg,frame='fk5',equinox='J2000.0') 
size = u.Quantity((10,10), u.arcsec)  
cutout = Cutout2D(data, position, size, fill_value=np.nan,  wcs=w) 

您可以将FITS文件缩小为二维图像,然后剪切2D将更容易工作:

hdu = fits.open(file)[0]
data = hdu.data[0,0,:,:]   # checkout image data
# modify header keywords
hdu.header['NAXIS'] = 2
hdu.header['WCSAXES']=2
# delete all keywords of additional axis
del hdu.header['NAXIS3']
del hdu.header['NAXIS4']
del hdu.header['CRPIX3']
...

w = WCS(hdu.header)
position = SkyCoord(24.17*u.deg, 15.78*u.deg,frame='fk5',equinox='J2000.0') 
size = u.Quantity((10,10), u.arcsec)  
cutout = Cutout2D(data, position, size, fill_value=np.nan,  wcs=w) 

错误在哪里产生?你需要发表完整的文章。你可以通过点击文章底部的“编辑”链接来编辑你的问题。请将完整的回溯放在帖子中,确保格式正确,以便更清晰。我现在看到您的FITS标题,它是一个4-D数组,但其中两个维度的大小为1。尝试一下
data=data.resforme(data.shape[2:])
错误发生在哪里?你需要发表完整的文章。你可以通过点击文章底部的“编辑”链接来编辑你的问题。请将完整的回溯放在帖子中,确保格式正确,以便更清晰。我现在看到您的FITS标题,它是一个4-D数组,但其中两个维度的大小为1。尝试一下
data=data.resforme(data.shape[2:])