I have updated the Numeric manual on the web site. I added some to the MLab section to reflect the axis arguments that were added some time ago but never reflected in the manual. The manual also documents a change to the behavior of the attribute "masked" in package MA. The document corresponds to CVS now rather than the last release. I hope to release Numeric-20.2 sometime soon but want more exercise of the MA and MLab changes first. I changed MLab.mean to return a floating point result when the argument is integer. I'm sorry if this breaks anything but the prior behavior has no mathematical meaning and then, worse, was being used by std to get the wrong standard deviation too. I changed std to work for axis > 0, as it was previously broken. I don't own Matlab and so maintaining a package that emulates something I don't have makes me nervous. I wish one of the other developers with more knowledge in this area would pitch in. Thanks to Chris Barker and others who sent in typos and suggestions.
Re Matlab, I've never used it before, but I was very suprised to see that its arrays work much like Numpy. I have some Matlab FDTD code here and the arrays are sliced instead of indexed. I might be able to rope a few more people at work into Python based on that :) Rob.
Paul F. Dubois wrote:
I'm not much of a NumPy developer, but I do own MATLAB, and was once a heavy user of it (now I use Python a lot more, or course). I'm not sure what I can contibute, but I'd be glad to test and comment. -Chris -- Christopher Barker, Ph.D. ChrisHBarker@home.net --- --- --- http://members.home.net/barkerlohmann ---@@ -----@@ -----@@ ------@@@ ------@@@ ------@@@ Oil Spill Modeling ------ @ ------ @ ------ @ Water Resources Engineering ------- --------- -------- Coastal and Fluvial Hydrodynamics -------------------------------------- ------------------------------------------------------------------------
Re Matlab, I've never used it before, but I was very suprised to see that its arrays work much like Numpy. I have some Matlab FDTD code here and the arrays are sliced instead of indexed. I might be able to rope a few more people at work into Python based on that :) Rob.
Paul F. Dubois wrote:
I'm not much of a NumPy developer, but I do own MATLAB, and was once a heavy user of it (now I use Python a lot more, or course). I'm not sure what I can contibute, but I'd be glad to test and comment. -Chris -- Christopher Barker, Ph.D. ChrisHBarker@home.net --- --- --- http://members.home.net/barkerlohmann ---@@ -----@@ -----@@ ------@@@ ------@@@ ------@@@ Oil Spill Modeling ------ @ ------ @ ------ @ Water Resources Engineering ------- --------- -------- Coastal and Fluvial Hydrodynamics -------------------------------------- ------------------------------------------------------------------------
participants (3)
-
Chris Barker -
Paul F. Dubois -
Rob