On Fri, Apr 27, 2012 at 4:57 PM, Robert Kern <[email protected]> wrote: > On Fri, Apr 27, 2012 at 21:52, Travis Vaught <[email protected]> wrote: >> With NumPy 1.6.1 (from EPD 7.2-2) I get this behavior: >> >> >> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ >> >> In [1]: import numpy as np >> >> In [2]: schema = np.dtype({'names':['symbol', 'date', 'open', 'high', 'low', >> ...: 'close', 'volume', 'adjclose'], >> ...: 'formats':['S8', 'M8', float, float, float, >> float, >> ...: float, float]}) >> >> In [3]: data = [("AAPL", "2012-04-12", 600.0, 605.0, 598.0, 602.0, 50000000, >> 602.0),] >> >> In [4]: recdata = np.array(data, dtype=schema) >> >> In [5]: recdata >> Out[5]: >> array([ ('AAPL', datetime.datetime(2012, 4, 12, 0, 0), 600.0, 605.0, 598.0, >> 602.0, 50000000.0, 602.0)], >> dtype=[('symbol', '|S8'), ('date', ('<M8[us]', {})), ('open', '<f8'), >> ('high', '<f8'), ('low', '<f8'), ('close', '<f8'), ('volume', '<f8'), >> ('adjclose', '<f8')]) >> >> >> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ >> >> >> With numpy-1.7.0.dev_3cb783e I get this: >> >>>>> import numpy as np >> >>>>> schema = >>>>> np.dtype({'names':['symbol','data','open','high','low','close','volume','adjclose'], >>>>> 'formats':['S8','M8',float,float,float,float,float,float]}) >> >>>>> data = [("AAPL", "2012-04-12", 600.0, 605.0, 598.0, 602.0, 50000000, >>>>> 602.0),] >> >>>>> recdata = np.array(data, dtype=schema) >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> ValueError: Cannot create a NumPy datetime other than NaT with generic units >> >>>>> np.version.version >> '1.7.0.dev-3cb783e' >> >> ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ >> >> Any hints about a regression I can check for? Or perhaps I missed an api >> change for specifying datetime dtypes? > > Judging from the error message, it looks like an intentional API change. > > -- > Robert Kern > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion
Maybe this should be raised as a bug (where do we report NumPy bugs these days, still Trac?). As I'm moving to datetime64 in pandas if NumPy 1.6.1 data has unpickling issues on NumPy 1.7+ it's going to be very problematic. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
