Zhang Sam wrote: > Thanks for so many replies. > > In fact, I want to use several arrays to store the original data from > a practical project. In every arrays, two or three column will be > store the index. The main computation is still on matrices(float type) > which is built from the original data. When building the main > matrix, I need the repeated use of the index stored in the original > data. So I hope both int and float can exist in one array with numpy, > just for the original data.
I think you probably want to use a record-array here. Matlab does not store both integers and floating point in the same matrix. It stores integers *as* floating point in your float array. Matlab just allows floating-point arrays to be used as indexes (because for a long time there was only floating-point matrices in Matlab). NumPy forces you to be explicit in using an integer array for indexing into an array. You are mis-interpreting the situation with Matlab. The accurate representation is that Matlab allows indexing with floating point arrays. It would be possible to lift the restriction with NumPy, but I suspect it's probably best to leave it the way it is so that users are clear about how they want to convert from integers to floating-point. -Travis _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
