On Mon, Jun 14, 2010 at 19:27, Warren Weckesser
<warren.weckes...@enthought.com> wrote:
> Robert Kern wrote:
>> On Mon, Jun 14, 2010 at 19:00, Vishal Rana <ranavis...@gmail.com> wrote:
>>
>>> Hi,
>>> I have dictionary of numpy record arrays, what could be fastest way to
>>> save/load to/from a disk. I tried numpy.save() but my dictionary is lost and
>>> cPickle seems to be slow.
>>>
>>
>> numpy.savez() will save a dictionary of arrays out to a .zip file.
>> Each key/value pair will map to a file in the .zip file with a file
>> name corresponding to the key.
>>
>>
>
> Hey Robert,
>
> If I expand the dictionary to keyword arguments to savez, it works
> beautifully:
>
> -----
> In [4]: a = np.array([[1,2,3],[4,5,6]])
>
> In [5]: b = np.array([('foo',1),('bar',2)], dtype=[('name', 'S8'),
> ('code', int)])
>
> In [6]: d = dict(a=a, b=b)
>
> In [7]: np.savez('mydata.npz', **d)
>
> In [8]: q = np.load('mydata.npz')
>
> In [9]: q['a']
> Out[9]:
> array([[1, 2, 3],
> [4, 5, 6]])
>
> In [10]: q['b']
> Out[10]:
> array([('foo', 1), ('bar', 2)],
> dtype=[('name', '|S8'), ('code', '<i4')])
> -----
>
>
> But if I just pass in the dictionary to savez:
Don't.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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