Question

I want to convert the record [(1, 2, 3) (2, 2, 3)] which is of integer type to floating type array as [(1.0, 2.0, 3.0), (2.0, 2.0, 3.0)]. However when I give the command c.astype('float') what I get at the output is rec.array([ 1., 2.]). Why the other elements are deleted from the array?

Could someone please give me the correct solution?
Am I doing it the right way?

Update
I created the record from 3 different arrays like this –
d=np.rec.fromarrays([a, b, c], names='x,y,z') in order to sort them and do some operations.

Here is the complete code –

a=[1,2]
b=[2,2]
c=[3,3]
d=np.rec.fromarrays([a, b, c], names='x,y,z')
print d
d.astype('float')
print d

Answer 1

Inelegant but (apparently) working:

In [23]: import numpy as np

In [24]: a=[1,2]

In [25]: b=[2,2]

In [26]: c=[3,3]

In [27]: d=np.rec.fromarrays([a, b, c], names='x,y,z')

In [28]: d
Out[28]: 
rec.array([(1, 2, 3), (2, 2, 3)], 
      dtype=[('x', '<i4'), ('y', '<i4'), ('z', '<i4')])

In [29]: d.astype([(k, float) for k in d.dtype.names])
Out[29]: 
rec.array([(1.0, 2.0, 3.0), (2.0, 2.0, 3.0)], 
      dtype=[('x', '<f8'), ('y', '<f8'), ('z', '<f8')])