David Cournapeau wrote:
Gennan Chen wrote:
Hi! All,
I am also in the same process. And I would like to add one more question:
In Matlab, for a 3D array or matrix, the indexing is a(i,j,k). In numpy, it became a[k-1,i-1,j-1]. Is there any way to make it become a[i-1,j-1,k-1]? Or I am doing something wrong here??
To be more specific, I am trying to convert a function which compute multivariate Gaussian densities. It should be able to handle scalar case, the case where the mean is a vector, and the case where va is a vector (diagonal covariance matrix) or square matrix (full covariance matrix).
Also, both of you might want to take a look at this page and its links: http://www.scipy.org/NumPy_for_Matlab_Users -- Robert Kern robert.kern@gmail.com "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco