Hi,
long time ago there was a discussion on reducing the duplications of
functions / symbols between Numpy and Matplotlib.
I think from this resulted the pylab module now having many fewer entries:
>>> import matplotlib
>>> matplotlib.__version__
'0.98.5.2'
>>> import pylab
>>> len(pylab.__dict__)
882
However, I think these are still to many ! I wrote, already before
the cleanup, a "HACK"-cleanup routine, which makes a cut-down modules
(called P) like this:
# P = new.module("pylab_sparse","""pylab module minus stuff alreay in numpy""")
for k,v in pylab.__dict__.iteritems():
try:
if k[:2] == '__' or v is numpy.__dict__[k]:
continue
except KeyError:
pass
#P.__dict__[k] = v
exec("%s = pylab.%s" % (k,k))
((the commented out lines did not work, but they might still
illustrate what I want to do -- now I have this code in a separate
module that I can import as "P"
This way I get:
>>> len(P.__dict__)
395
>>> numpy.__version__
'1.3.0'
So why are there still that many -- more than half ! -- duplications
between pylab and numpy ?
Regards,
Sebastian Haase
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