On 1/31/07, Gary Ruben <[EMAIL PROTECTED]> wrote:
> Actually, I just realised; it's not an ipython problem. I think it's a
> matplotlib problem. I'll report it there.
Until mpl drops support for the compatibility layers, you may want to
set up a simple pylab profile. In ~/.ipython make a file called
'ipythonrc-pylab' consisting of:
#######
# Load default config
include ipythonrc
# Add single-line python statements here
execute from numpy import *
########
Since pylab does a 'from .num?. import *' this will ensure that the
top-level visible functions are the current numpy ones, not the
compatibility layer ones. You then start things with:
ipython -pylab -p pylab
and you'll get:
In [1]: zeros?
Type: builtin_function_or_method
Base Class: <type 'builtin_function_or_method'>
Namespace: Interactive
Docstring:
zeros((d1,...,dn),dtype=float,order='C')
Return a new array of shape (d1,...,dn) and type typecode with all
it's entries initialized to zero.
Not ideal, but it's a little hack that will work in practice until we
finish crossing the muddy river of backwards compatibility.
Cheers,
f
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