Robert Kern wrote: > On Mon, Jun 14, 2010 at 19:27, Warren Weckesser > <[email protected]> wrote: > >> Robert Kern wrote: >> >>> On Mon, Jun 14, 2010 at 19:00, Vishal Rana <[email protected]> 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. > >
That's what I suspected. Thanks. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
