[AstroPy] Help with WindowsError: [Error 8]

[Zachary Robinson]

Sure.

WARNING: File may have been truncated: actual file length (9947040) is
smaller than the expected size (10736640) [astropy.io.fits.file]
Filename: C:\Documents and Settings\zach\Desktop\H0638308.FIT
No.    Name         Type      Cards   Dimensions   Format
0    PRIMARY     PrimaryHDU      34   ()
1                BinTableHDU    221   892800R x 4C   [J, J, I, I]

This is the output after running fits.info().

Zach



On Wed, Mar 12, 2014 at 1:00 PM, Erik Bray <embray at stsci.edu> wrote:

> On 03/11/2014 02:49 PM, Zachary Robinson wrote:
> > Perry,
> >
> > The FITS file is 3.66MB. The dimensions of the table are 892800Rx4C
>
> This raises the question, however, of what the formats are of the columns.
> Could you please post the entire header(s) of this file and the output of
> fits.info() on the file?
>
> Erik
>
> >> On Mar 11, 2014, at 1:09 PM, Perry Greenfield <stsci.perry at gmail.com>
> wrote:
> >>
> >> How big is the table?
> >>
> >> It's quite possible you are running into a 32-bit limitation,
> particularly if the table is 2GB or bigger.
> >>
> >> Perry
> >>
> >>
> >>> On Mar 11, 2014, at 2:06 PM, Zachary Robinson wrote:
> >>>
> >>> Hello,
> >>>
> >>> I'm currently a graduate student working on a project for my adviser.
> The data we are using has always been in CSV format and we have a bunch of
> python programs using these CSV formatted files.  However, a small portion
> of the oldest data we have is in FITS formatted files.  I've been put in
> charge of extracting the data from these FITS files and putting them into
> CSV files so we can use our programs we wrote. I read online that astropy
> has the ability to do this so I've downloaded it and have started to learn
> it using the documentation center.
> >>>
> >>> However, I have experienced an issue while trying to learn the basics
> commands of the table data portion of FITS file handling.  My code so far
> is (infil is the location of the FITS files on my computer):
> >>>
> >>> HDUlist = fits.open(infil)
> >>> HDUlist.info()
> >>> tbdata = HDUlist[1].data
> >>> print(tbdata[1])
> >>>
> >>> When I try to run the program, I get this error message:
> >>>
> >>> Traceback (most recent call last):
> >>>   File "C:\Documents and Settings\zach\Desktop\Dropbox\Probabilistic
> SPE Model\GOES\Python Programs\Astropy and FIT Files Tutorial\Reading FITS
> Files.py", line 52, in <module>
> >>>     tbdata = HDUlist[1].data
> >>>   File "C:\Program
> Files\Python27\lib\site-packages\astropy\utils\misc.py", line 279, in
> __get__
> >>>     val = self._fget(obj)
> >>>   File "C:\Program
> Files\Python27\lib\site-packages\astropy\io\fits\hdu\table.py", line 285,
> in data
> >>>     data = self._get_tbdata()
> >>>   File "C:\Program
> Files\Python27\lib\site-packages\astropy\io\fits\hdu\table.py", line 93, in
> _get_tbdata
> >>>     self._data_offset)
> >>>   File "C:\Program
> Files\Python27\lib\site-packages\astropy\io\fits\hdu\base.py", line 509, in
> _get_raw_data
> >>>     return self._file.readarray(offset=offset, dtype=code, shape=shape)
> >>>   File "C:\Program
> Files\Python27\lib\site-packages\astropy\io\fits\file.py", line 257, in
> readarray
> >>>     shape=shape).view(np.ndarray)
> >>>   File "C:\Program
> Files\Python27\lib\site-packages\numpy\core\memmap.py", line 237, in __new__
> >>>     mm = mmap.mmap(fid.fileno(), bytes, access=acc, offset=start)
> >>> WindowsError: [Error 8] Not enough storage is available to process
> this command
> >>>
> >>> Can anyone explain to me what this error is and how I can go about
> fixing it? From what I've read online so far, I'm thinking it has something
> to do with the mmap but I don't know what that is.
> >>>
> >>> I'm running this code in Python 2.7 on a 32-bit WinXP machine.
> >>>
> >>> Thanks a lot for the help,
> >>> Zach
> >>> _______________________________________________
> >>> AstroPy mailing list
> >>> AstroPy at scipy.org
> >>> http://mail.scipy.org/mailman/listinfo/astropy
> >>
> > _______________________________________________
> > AstroPy mailing list
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> >
>
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