>>> counts = num.array([312,334,308,317])
>>> names = num.array(['NGC1','NGC2','NGC3','NCG4'])
>>> c1=pyfits.Column(name='target',format='10A',array=names)
>>> c2=pyfits.Column(name='counts',format='J',unit='DN',
... array=counts)
>>> c3=pyfits.Column(name='notes',format='A10')
>>> c4=pyfits.Column(name='spectrum',format='5E')
>>> c5=pyfits.Column(name='flag',format='L',array=[1,0,1,1])
>>> coldefs=pyfits.ColDefs([c1,c2,c3,c4,c5])
>>>
>>> tbhdu1=pyfits.new_table(coldefs)
>>>
>>> counts = num.array([112,134,108,117])
>>> names = num.array(['NGC5','NGC6','NGC7','NCG8'])
>>> c1=pyfits.Column(name='target',format='10A',array=names)
>>> c2=pyfits.Column(name='counts',format='J',unit='DN',
... array=counts)
>>> c3=pyfits.Column(name='notes',format='A10')
>>> c4=pyfits.Column(name='spectrum',format='5E')
>>> c5=pyfits.Column(name='flag',format='L',array=[0,1,0,0])
>>> coldefs=pyfits.ColDefs([c1,c2,c3,c4,c5])
>>>
>>> tbhdu=pyfits.new_table(coldefs)
>>> tbhdu.data[0][3] = num.array([1.,2.,3.,4.,5.],
... dtype=num.float32)
>>>
>>> tbhdu2=pyfits.new_table(tbhdu1.data, nrows=9)
>>>
>>> # Assign the 4 rows from the second table to rows 5 thru
... 8 of the new table. Note that the last row of the new
... table will still be initialized to the default values.
>>> tbhdu2.data[4:] = tbhdu.data
>>>
>>> print tbhdu2.data
[ ('NGC1', 312, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), True)
('NGC2', 334, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), False)
('NGC3', 308, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), True)
('NCG4', 317, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), True)
('NGC5', 112, '0.0', array([ 1., 2., 3., 4., 5.],
dtype=float32), False)
('NGC6', 134, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), True)
('NGC7', 108, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), False)
('NCG8', 117, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), False)
('0.0', 0, '0.0', array([ 0., 0., 0., 0., 0.],
dtype=float32), False)]
>>>
