On 4/19/07, Bill Baxter <[EMAIL PROTECTED]> wrote: > What's the right way to make a new numpy array that's a copy of some C data? > > There doesn't seem to be any API like PyArray_NewFromDescr that > /copies/ the void*data pointer for you. Do I have to write my own > loops for this? I can do that, it just seems like it should be a > library function already, so I'm guessing I'm just overlooking it. > There seem to be lots of APIs that will wrap pre-existing memory, but > the ones that allocate for you do not seem to copy. > > A related question -- I'm only trying to copy in order to save myself > a little hassle regarding how to clean up the allocated chunks. If > there's some simple way to trigger a particular deallocation function > to be called at the right time, then that would be the ideal, really. > Does that exist?
This is a situation I have been waiting to address for a long time ! In our case the data size is generally considered to be to large to accept the copy-solution. A cookbook-wiki entry would be wonderful! Generally we would have data memory that was allocated via alloc() and data that was allocated via new[] -- so two different deallocation functions (free() and delete[], respectively) would be required for this to be trigged, once the reference counter goes back to zero. Thanks, Sebastian Haase _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
