On 11/13/06, Seweryn Kokot <[EMAIL PROTECTED]> wrote:
I expect scipy.linalg and numpy.linalg are different modules containing different functions. That said, the documentation in scipy.linalg looks quite a bit more complete.
Chuck
Hello,
Why ipython and python interactive shell give two different information?
--- ipython
Python 2.4.4 (#2, Oct 20 2006, 00:23:25)
Type "copyright", "credits" or "license" for more information.
IPython 0.7.2 -- An enhanced Interactive Python.
? -> Introduction to IPython's features.
%magic -> Information about IPython's 'magic' % functions.
help -> Python's own help system.
object? -> Details about 'object'. ?object also works, ?? prints more.
In [1]: from scipy import linalg
In [2]: help(linalg.eig)
Help on function eig in module numpy.linalg.linalg:
eig(a)
eig(a) returns u,v where u is the eigenvalues and
v is a matrix of eigenvectors with vector v[:,i] corresponds to
eigenvalue u[i]. Satisfies the equation dot(a, v[:,i]) =
u[i]*v[:,i]
--- ipython
while
--- python
Python 2.4.4 (#2, Oct 20 2006, 00:23:25)
[GCC 4.1.2 20061015 (prerelease) (Debian 4.1.1-16.1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from scipy import linalg
>>> help(linalg.eig)
Help on function eig in module scipy.linalg.decomp:
eig(a, b=None, left=False, right=True, overwrite_a=False, overwrite_b=False)
Solve ordinary and generalized eigenvalue problem
of a square matrix.
Inputs:
a -- An N x N matrix.
b -- An N x N matrix [default is identity(N)].
left -- Return left eigenvectors [disabled].
right -- Return right eigenvectors [enabled].
overwrite_a, overwrite_b -- save space by overwriting the a and/or
b matrices (both False by default)
Outputs:
w -- eigenvalues [left==right==False].
w,vr -- w and right eigenvectors [left==False,right=True].
w,vl -- w and left eigenvectors [left==True,right==False].
w,vl,vr -- [left==right==True].
Definitions:
...
--- python
Any idea?
I expect scipy.linalg and numpy.linalg are different modules containing different functions. That said, the documentation in scipy.linalg looks quite a bit more complete.
Chuck
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