[AstroPy] Accessing a FITS table generates "ValueError: Inconsistent data column lengths: set([0, 27645])"

Jordan Alexander jordan.alexander at aut.ac.nz
Tue Apr 17 06:53:01 EDT 2018


First, thank you astropy for this outstanding package.  It played an important role in the completion of my PhD; much respect :)

Using python 2.7.12 &  astropy 2.0.5 and following Lia R. Corrales' useful tutorial,

http://www.astropy.org/astropy-tutorials/FITS-tables.html

I am trying to access data stored in a FITS table, which generates

ValueError: Inconsistent data column lengths: set([0, 27645])"

Below are my steps and intermediate results that leads to this error...

Can you please help here, astropy at python.org?

P.S. I am able to access other tables in the following FITS file, just not the one I am interested in...

--------

from astropy.io import fits

from astropy.table import Table

hdulist = fits.open('WS001H.0.bin0000.source0000.FITS')

hdulist.info()

<generates the following output...>

Filename: WS001H.0.bin0000.source0000.FITS
No.    Name      Ver    Type      Cards   Dimensions   Format
  0  PRIMARY       1 GroupsHDU       51   ()      0 Groups  0 Parameters
  1  ARRAY_GEOMETRY    1 BinTableHDU     53   2R x 7C   [8A, 3D, 3E, 0D, 1J, 1J, 3E]
  2  SOURCE        1 BinTableHDU     89   3R x 26C   [1J, 16A, 1J, 4A, 1J, 8E, 8E, 8E, 8E, 8E, 8D, 1D, 1D, 8A, 1D, 1D, 8D, 8A, 8A, 8D, 1D, 1D, 1E, 1D, 1D, 1D]
  3  ANTENNA       1 BinTableHDU     52   18R x 13C   [1D, 1E, 8A, 1J, 1J, 1J, 1J, 1A, 8E, 8E, 1A, 8E, 8E]
  4  FREQUENCY     1 BinTableHDU     35   1R x 6C   [1J, 8D, 8E, 8E, 8J, 8J]
  5  INTERFEROMETER_MODEL    1 BinTableHDU     83   946R x 20C   [1D, 1E, 1J, 1J, 1J, 1J, 1E, 8E, 48D, 6D, 48D, 6D, 1E, 1E, 48D, 6D, 48D, 6D, 1E, 1E]
  6  CALC          1 BinTableHDU     75   5R x 11C   ['1D', '1D', '1D', '1D', '1A', '2D', '1A', '1D', '1D', '1D', '1D']
  7  MODEL_COMPS    1 BinTableHDU     86   946R x 21C   ['1D', '1J', '1J', '1J', '1J', '1D', '1D', '1D', '1D', '1D', '1D', '8E', '8E', '1E', '1E', '1D', '1D', '8E', '8E', '1E', '1E']
  8  UV_DATA       1 BinTableHDU     93   27645R x 13C   ['1E', '1E', '1E', '1D', '1D', '1J', '1J', '1J', '1J', '1E', '32E', '0J', '4096E']
  9  PHASE-CAL     1 BinTableHDU     61   2406R x 17C   [1D, 1E, 1J, 1J, 1J, 1J, 1D, 32E, 16D, 16E, 16E, 16E, 32E, 16D, 16E, 16E, 16E]
 10  GAIN_CURVE    1 BinTableHDU     62   0R x 19C   [1J, 1J, 1J, 8J, 8J, 8J, 8J, 8E, 48E, 48E, 8E, 8J, 8J, 8J, 8J, 8E, 48E, 48E, 8E]

Table(hdulist[8].data)

<generates...>

ValueError                                Traceback (most recent call last)
<ipython-input-82-fca4b3ff146b> in <module>()
      1 hdulist.info()
----> 2 Table(hdulist[8].data)

/usr/local/lib/python2.7/dist-packages/astropy/table/table.pyc in __init__(self, data, masked, names, dtype, meta, copy, rows, copy_indices, **kwargs)
    411         init_func(data, names, dtype, n_cols, copy)
    412
--> 413         # Whatever happens above, the masked property should be set to a boolean
    414         if type(self.masked) is not bool:
    415             raise TypeError("masked property has not been set to True or False")

/usr/local/lib/python2.7/dist-packages/astropy/table/table.pyc in _init_from_ndarray(self, data, names, dtype, n_cols, copy)
    700             self._init_from_list(cols, names, dtype, n_cols, copy)
    701         else:
--> 702             dtype = [(name, col.dtype, col.shape[1:]) for name, col in zip(names, cols)]
    703             newdata = data.view(dtype).ravel()
    704             columns = self.TableColumns()

/usr/local/lib/python2.7/dist-packages/astropy/table/table.pyc in _init_from_list(self, data, names, dtype, n_cols, copy)
    684         self._init_from_cols(cols)
    685
--> 686     def _init_from_ndarray(self, data, names, dtype, n_cols, copy):
    687         """Initialize table from an ndarray structured array"""
    688

/usr/local/lib/python2.7/dist-packages/astropy/table/table.pyc in _init_from_cols(self, cols)
    749                              .format(lengths))
    750
--> 751         # Set the table masking
    752         self._set_masked_from_cols(cols)
    753

ValueError: Inconsistent data column lengths: set([0, 27645])

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