[Numpy-discussion] weird interaction: pickle, numpy, matplotlib.hist

[Andrew Jaffe]

Hi All,

I've encountered a strange problem: I've been running some python code 
on both a linux box and OS X, both with python 2.4.1 and the latest 
numpy and matplotlib from svn.

I have found that when I transfer pickled numpy arrays from one machine 
to the other (in either direction), the resulting data *looks* all right 
(i.e., it is a numpy array of the correct type with the correct values 
at the correct indices), but it seems to produce the wrong result in (at 
least) one circumstance: matplotlib.hist() gives the completely wrong 
picture (and set of bins).

This can be ameliorated by running the array through
    arr=numpy.asarray(arr, dtype=numpy.float64)
but this seems like a complete kludge (and is only needed when you do 
the transfer between machines).

I've attached a minimal code that exhibits the problem: try
	test_pickle_hist.test(write=True)
on one machine, transfer the output file to another machine, and run
	test_pickle_hist.test(write=False)
on another, and you should see a very strange result (and it should be 
fixed if you set asarray=True).

Any ideas?

Andrew
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