[AstroPy] Convert FITS header into astropy Table entries?

[Jason Tumlinson]

Hi,
I am trying to harvest the information from a large number of FITS headers, parse them and do statistics on values, in an efficient manner. I read in each header in the usual fashion:

h = fits.open('lbiy83i0q_x1d.fits’)
h0 = h[0].header

My goal then is to get all the header info into an astropy Table such that the table columns are given by the header keys and the values in the rows are given by the values in each of 100+ headers. I tried this:

In [38]: t = Table(rows=h0.values(), names=h0.keys())
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-38-8a0ece2925d5> in <module>()
----> 1 t = Table(rows=h0.values(), names=h0.keys())

/Users/tumlinson/Ureka/python/lib/python2.7/site-packages/astropy/table/table.pyc in __init__(self, data, masked, names, dtype, meta, copy, rows)
    240                 data = rows
    241             else:
--> 242                 rec_data = recarray_fromrecords(rows)
    243                 data = [rec_data[name] for name in rec_data.dtype.names]
    244

/Users/tumlinson/Ureka/python/lib/python2.7/site-packages/astropy/table/np_utils.pyc in recarray_fromrecords(rec_list)
    604     # to column arrays in the recarray module; it could be there is a better
    605     # way
--> 606     nfields = len(rec_list[0])
    607     obj = np.array(rec_list, dtype=object)
    608     array_list = [np.array(obj[..., i].tolist()) for i in range(nfields)]

TypeError: object of type 'bool' has no len()

to no avail. Is this possible, easy, or wrongheaded? Advise appreciated.

Thanks,
JT



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