def test_missing_tnull(self):

        c = fits.Column('F1', 'A3', null='---',
                        array=np.array(['1.0', '2.0', '---', '3.0']),
                        ascii=True)
        table = fits.TableHDU.from_columns([c])
        table.writeto(self.temp('test.fits'))

        # Now let's delete the TNULL1 keyword, making this essentially
        # unreadable
        with fits.open(self.temp('test.fits'), mode='update') as h:
            h[1].header['TFORM1'] = 'E3'
            del h[1].header['TNULL1']

        with fits.open(self.temp('test.fits')) as h:
            assert_raises(ValueError, lambda: h[1].data['F1'])

        try:
            with fits.open(self.temp('test.fits')) as h:
                h[1].data['F1']
        except ValueError as exc:
            assert str(exc).endswith(
                "the header may be missing the necessary TNULL1 "
                "keyword or the table contains invalid data")
Regression test for https://aeon.stsci.edu/ssb/trac/pyfits/ticket/197
dataset/ETHPy150Open spacetelescope/PyFITS/pyfits/tests/test_table.py/TestTableFunctions.test_missing_tnull