On Fri, Jul 20, 2007 at 11:02:45AM -0700, Christopher Barker wrote: > Rob Hetland wrote: > > First, it has bothered me that from pylab import * and from numpy > > import * both import 'load' statements. Yes, I realize that I can put > > them in their own name space, but I only use python for mpl and numpy > > > That's why: "Namespaces are one honking great idea". They really are. > Trust me on this. > > Also, doesn't pylab hold all of numerix anyway? Why do you need both? > > If you want to use the latest numpy API (which I do) then again -- > "Namespaces are one honking great idea". This is what they are for. > > Otherwise, you're stuck with using numerix and waiting until MPL goes > pure numpy ( I don't know when that might be). pylab and numpy stomp all > over each other (if you use import *) by design. > > It comes down to this: if you use "import *" you're forced to use the > decision made by others -- the numerix API, which, quite reasonably, > they are keeping backward compatible. > > Is it really that hard to use this? > > import numpy as N # or "as npy", the mpl standard. > > a = N.arange(10) > > a.sum() > > etc, etc... > > One of the nice things about numpy is that there are lot more array > methods, rather than functions, so it works better with namespaces -- > you really don't need to type the "N." all that much. > > from pylab import * > import numpy as N > > May be a reasonable compromise. > > > -- for me python is a matlab replacement. > > In many ways it is for me too, but it's so much better! take advantage > of the advantages -- like namespaces. > > If you're anything like me, you may not be writing big programs, but > even quickie scripts are edited and re-edited a lot -- a little extra > typing makes little difference. > > -Chris
To throw out some nonsense: import numpy as npy res = npy.sqrt(2*npy.sin(npy.pi*x**2) + npy.cos(x**2) - npy.exp(2*npy.pi*1j)) is not very readable. This is improved somewhat as: import numpy as N res = N.sqrt(2*N.sin(N.pi*x**2) + N.cos(x**2) - N.exp(2*N.pi*1j)) but the following is better: from mpl.math import * res = sqrt(2*sin(pi*x**2) + cos(x**2) - exp(2*pi*1j)) Can we create a math.py which makes a standard set of math functions available? Posix libc is an excellent place to start, though I would also appreciate inf, nan, pi and eps as well. I'm guessing a function sqrt(-1.) which returns 1j is out of the question? - Paul ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2005. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
