I have numpy array:
>>> data
dtype([('date', '|O4'), ('value', '<f8')]
where date object is Python datetime.date object which consists of all days in one year: [2010-1-1, ..., 2010-12-31] and value object is value data for corresponding date.
How can I return value data only for, let's say, September?
You could use a boolean array to index data:
import numpy as np
import datetime as dt
dates=[dt.date(2010,1,1)+dt.timedelta(days=i) for i in range(365)]
values=range(365)
data=np.array(zip(dates,values),dtype=[('dates','object'),('value','<f8')])
(data['dates']>=dt.date(2010,9,1)) & (data['dates']<dt.date(2010,10,1)) is a boolean array of the same length as data, which is True for all dates in September:
print(data['value'][(data['dates']>=dt.date(2010,9,1)) &
(data['dates']<dt.date(2010,10,1))])
