Yes, this is finally how I work around it. I just want to save the conversion from list to tuple.
Will this do what you need to accomplish?import datetimenp.array([(datetime.datetime.strptime(i[0], "%Y-%m-%d").date(), i[1]) for i in a], dtype=[('date', 'object'), ('count', 'int')])ValOn Wed, Mar 21, 2012 at 11:48 PM, Yan Tang <tang.yan@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 2.6.5On this reference page, http://docs.scipy.org/doc/numpy/reference/generated/numpy.array.html>>> x = np.array([(1,2),(3,4)])>>> xarray([[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