Yes, this is finally how I work around it. I just want to save the conversion from list to tuple.
On Thu, Mar 22, 2012 at 1:32 AM, Val Kalatsky <kalat...@gmail.com> wrote: > > Will this do what you need to accomplish? > > import datetime > np.array([(datetime.datetime.strptime(i[0], "%Y-%m-%d").date(), i[1]) for > i in a], dtype=[('date', 'object'), ('count', 'int')]) > > Val > > On Wed, Mar 21, 2012 at 11:48 PM, Yan Tang <tang....@gmail.com> wrote: > >> Hi, >> >> I am really confused on the np array or record array, and cannot >> understand how it works. >> >> What I want to do is that I have a normal python two dimensional >> array/list: >> >> a = [['2000-01-01', 2],['2000-01-02', 3]] >> >> I want to convert it to a recarray with this dtype [('date', 'object'), >> ('count', 'int')]. I tried multiple ways and none of them works. And some >> of the tests show pretty odd behavior. >> >> This is good, and it is almost what i want: >> >> >>> import numpy as np >> >>> a = [('2000-01-01', 2), ('2000-01-02', 3)] >> >>> np.array(a, dtype=[('date', 'object'), ('count', 'int')]) >> array([('2000-01-01', 2), ('2000-01-02', 3)], >> dtype=[('date', '|O8'), ('count', '<i8')]) >> >> Why this doesn't work?! >> >> >>> a = [['2000-01-01', 2],['2000-01-02', 3]] >> >>> np.array(a, dtype=[('date', 'object'), ('count', 'int')]) >> Traceback (most recent call last): >> File "<stdin>", line 1, in <module> >> ValueError: tried to set void-array with object members using buffer. >> >> Why can this cause segmentation fault?! >> >> >>> a = [['2000-01-01', 2],['2000-01-02', 3]] >> >>> np.ndarray((len(a),), buffer=np.array(a), dtype=[('date', 'object'), >> ('count', 'int')]) >> Segmentation fault (And python quit!) >> >> Python version 2.6.5 >> >> On this reference page, >> http://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html >> >> >>> x = np.array([(1,2),(3,4)]) >> >>> x >> array([[1, 2], >> [3, 4]]) >> >>> np.array([[1, 2], [3, 4]]) >> array([[1, 2], >> [3, 4]]) >> >> Can anyone help me about this? >> >> Thanks. >> >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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