Keith Goodman wrote: > How do I delete a row (or list of rows) from a matrix object? > > To remove the n'th row in octave I use x(n,:) = []. Or n could be a > vector of rows to remove. > > In numpy 0.9.9.2813 x[[1,2],:] = [] changes the values of all the > elements of x without changing the size of x. > > In numpy do I have to turn it around and construct a list of the rows > I want to keep? > Basically, that is true for now.
I think it would be worth implementing some kind of function for making this easier. One might think of using: del a[obj] But, the problem with both of those approaches is that once you start removing arbitrary rows (or n-1 dimensional sub-spaces) from an array you very likely will no longer have a chunk of memory that can be described using the n-dimensional array memory model. So, you would have to make memory copies. This could be done, of course, and the data area of "a" altered appropriately. But, such alteration of the memory would break any other objects that have a "view" of the memory area of "a." Right now, there is no way to track which objects have such "views", and therefore no good way to tell (other than the very conservative reference count) if it is safe to re-organize the memory of "a" in this way. So, "in-place" deletion of array objects would not be particularly useful, because it would only work for arrays with no additional reference counts (i.e. simple b=a assignment would increase the reference count and make it impossible to say del a[obj]). However, a function call that returned a new array object with the appropriate rows deleted (implemented by constructing a new array with the remaining rows) would seem to be a good idea. I'll place a prototype (named delete) to that effect into SVN soon. -Travis ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
