I have python dict object with key as datetime.date object and values as tuple objects:
>>> data_dict
{datetime.date(2006, 1, 1): (5, 3),
datetime.date(2006, 1, 2): (8, 8),
datetime.date(2006, 1, 3): (8, 5),
datetime.date(2006, 1, 4): (3, 3),
datetime.date(2006, 1, 5): (3, 3),
datetime.date(2006, 1, 6): (4, 3),
...
and I want to convert it to numpy array object in this format:
dtype([('date', '|O4'), ('high', '
so that I could store it on disk and later work with it, and learn, in numpy, matplotlib...
As a matter of fact, I thought to use this format after looking at this matplotlib examples: http://matplotlib.sourceforge.net/users/recipes.html but can't find my way out how to get there.
解决方案
The following will do it:
arr = np.array([(k,)+v for k,v in data_dict.iteritems()], \
dtype=[('date', '|O4'), ('high', '
If you then wish to use arr as a recarray, you could use:
arr = arr.view(np.recarray)
This will enable you to reference fields by name, e.g. arr.date.