On Friday 25 August 2006 08:01, Travis Oliphant wrote: > Travis Oliphant wrote: > >> Now of course: I often needed to "insert" a column, row or section, ... > >> ? I made a quick and dirty implementation for that myself: > >> def insert(arr, i, entry, axis=0): > >> """returns new array with new element inserted at index i along axis > >> if arr.ndim>1 and if entry is scalar it gets filled in (ref. > >> broadcasting) > >> > >> note: (original) arr does not get affected > >> """ > >> if i > arr.shape[axis]: > >> raise IndexError, "index i larger than arr size" > >> shape = list(arr.shape) > >> shape[axis] += 1 > >> a= N.empty(dtype=arr.dtype, shape=shape) > >> aa=N.transpose(a, [axis]+range(axis)+range(axis+1,a.ndim)) > >> aarr=N.transpose(arr, [axis]+range(axis)+range(axis+1,arr.ndim)) > >> aa[:i] = aarr[:i] > >> aa[i+1:] = aarr[i:] > >> aa[i] = entry > >> return a > > > > Sure, it makes sense to parallel the delete function. > > Although there is already and insert function present in numpy.... > > -Travis
Yeah - I saw that ... maybe one could introduce consistent namings like arr.copy_insert() arr.copy_delete() arr.copy_append() for the new ones. This emphasis the fact that a copy is created ... (Append is also a function often asked for when people expect "list capabilities" - did I miss others ?) -Sebastian ------------------------------------------------------------------------- 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
