Hi, As some of you know (and are impatiently waiting for ;-) I'm in the process of giving support to numpy in PyTables, so that the users can transparently make use of numpy objects (or Numeric or numarray). Well, I'm glad to say that the process is almost done (bar some issues with character array support and unicode arrays). Fortunately, thanks to the provision of the array interface, saving and reading numpy objects have nearly the same performance than using numarray objects (that, as you know, are in the core of PyTables).
So, if you want to have a try to the new PyTables, you can download this preliminary version of it from: http://pytables.carabos.com/download/preliminary/pytables-1.3beta1.tar.gz I'm attaching some examples so that you can see how to use numpy in combination with PyTables, by simply specifying the correct flavor in the data type definition for Table and EArray (the same goes for CArray and VLArray, although no examples are provided here) objects. Also, as I already said in other occasions, when numpy would stabilize enough, we are planning to make numpy the core data container for PyTables. Meanwhile, please, test the couple PyTables/numpy and report any error or glitch that you may notice, so that it can get as stable as possible in order to easy the transition numarray-->numpy. Cheers, -- >0,0< Francesc Altet http://www.carabos.com/ V V Cárabos Coop. V. Enjoy Data "-"
array1-numpy.py
Description: application/python
earray1-numpy.py
Description: application/python
table1-numpy.py
Description: application/python
