diff options
| -rw-r--r-- | wcsutil/wcscorr.py | 16 |
1 files changed, 10 insertions, 6 deletions
diff --git a/wcsutil/wcscorr.py b/wcsutil/wcscorr.py index 054626b..c344851 100644 --- a/wcsutil/wcscorr.py +++ b/wcsutil/wcscorr.py @@ -263,7 +263,7 @@ def update_wcscorr(dest, source=None, extname='SCI', wcs_id=None): wcs_keys = [wcs_key] # We're only interested in this one # create new table for hdr and populate it with the newly updated values - new_table = create_wcscorr(numrows=numext, padding=numext) + new_table = create_wcscorr(numrows=0, padding=len(wcs_keys)*numext) old_table = dest['WCSCORR'] idx = -1 @@ -308,18 +308,22 @@ def update_wcscorr(dest, source=None, extname='SCI', wcs_id=None): rowind = find_wcscorr_row(old_table.data, {'wcs_id':''}) old_nrows = np.where(rowind)[0][0] new_nrows = new_table.data.shape[0] - + # check to see if there is room for the new row if (old_nrows + new_nrows) > old_table.data.shape[0]: - pad_rows = 5 * new_nrows + pad_rows = 2 * new_nrows # if not, create a new table with 'pad_rows' new empty rows - upd_table = pyfits.new_table(old_table.columns, - nrows=old_table.data.shape[0] + pad_rows) + upd_table = pyfits.new_table(old_table.columns,header=old_table.header, + nrows=old_table.data.shape[0]+pad_rows) else: upd_table = old_table - + pad_rows = 0 # Now, add for name in old_table.columns.names: + # reset the default values to ones specific to the row definitions + for i in range(pad_rows): + upd_table.data.field(name)[old_nrows+i] = old_table.data.field(name)[-1] + # Now populate with values from new table upd_table.data.field(name)[old_nrows:old_nrows + new_nrows] = \ new_table.data.field(name) upd_table.header.update('TROWS', old_nrows + new_nrows) |