I know there was already a question about this topic (cleanest way to add a field to a structured numpy array), see
Adding a field to a structured numpy array
but I have a question about the answer given there …
If you’re using numpy 1.3, there’s also numpy.lib.recfunctions.append_fields()
I still have numpy 1.3, but it doesn’t recognise this function, and I also didn’t find anything about it in the documentation of numpy. What happened with the function? Is there another function that can do the same?
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.
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>
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)
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)