Rereading "Guide to NumPy" once again, I saw what I had missed all the previous times: the normal() distribution function (Chapter 10, page 173). I have several questions on using it in my application.
The syntax is normal(loc=0.0, scale=1.0, size=None), but I've not seen what those represent, nor how to properly invoke this function. A clue will be much appreciated. I want to call normal() passing at least the width of the curve(at the end points where y=0.0), and the center (where y=1.0). Being able to specify the y value of the inflection point (by default 0.5) would also be helpful. In the application's function I now have: from numpy import * x = nx.arange(0, 100, 0.1) y = nx.normal(center,width) # passed to the function when called and I then pass x,y to PyX for plotting. But python responds with: y = nx.normal(center,width) AttributeError: 'module' object has no attribute 'normal' Pointers to what I should be doing are needed. TIA, Rich -- Richard B. Shepard, Ph.D. | Integrity Credibility Applied Ecosystem Services, Inc. | Innovation <http://www.appl-ecosys.com> Voice: 503-667-4517 Fax: 503-667-8863 _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
