Adding a field to a structured numpy array (2)

As far as documentation for the recfunctions, here it is: http://pyopengl.sourceforge.net/pydoc/numpy.lib.recfunctions.html

If you can't figure it out after reading that, then please provide some code samples (for instance, did you import numpy.lib.recfunctions?) and an error message or undesired result, so we can determine how to fix it.

Here is a concrete example how to use append_fields(..) (admittedly based on the other answers here):

import numpy as np
x = np.array(np.arange(0,10), dtype = [('x', float)])
y = np.array(np.arange(10,20), dtype = [('y', float)])

from numpy.lib.recfunctions import append_fields

z = append_fields(x, 'y', y)

where

z.dtype.names

will give

('x', 'y')

---

note that y in can also be 'plain' ndarray without column names:

y = np.arange(10,20)

or you can rename the column y to something else (even if y is a structured array with column names):

z = append_fields(x, 'p', y)

(tested in numpy 1.6.1)

http://projects.scipy.org/numpy/browser/branches/1.3.x/numpy/lib/recfunctions.py?rev=8229

did you import?

from numpy.lib import recfunctions

recfunctions.append_fields(*your_args)  # base, names, data, ...

Seems like everything is working:

Python 2.6.6 (r266:84292, Sep 15 2010, 15:52:39) 
[GCC 4.4.5] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> numpy.__version__
'1.3.0'
>>> from numpy.lib.recfunctions import append_fields
>>> append_fields
<function append_fields at 0x9e3e80c>
>>>