How To Slice Numpy Datetime64 Array

I have a python zip with 2 arrays zipped = zip(array1[], array2[]) Where array1 is of type numpy.datetime64[] adn array2 is a temperature I want to make a time window in 1st array

Solution 1:

You can use pandas indexing which is designed for this. 'series' is a 1d array with an index attached. With reference to Wes McKinney's Python for Data Analysis:

import pandas as pdtemp= np.random.randn(366)
time_series = pd.Series(temp,index=np.arange(np.datetime64('2015-12-19'),np.datetime64('2016-12-19')))

start = np.datetime64('2016-01-17T15:00')
stop = np.datetime64('2016-06-19T15:00')
time_series[start:stop]

Output:

2016-01-18   -0.6901702016-01-19   -0.6385982016-01-20    0.2316802016-01-21   -0.2027872016-01-22   -1.3336202016-01-23    1.5251612016-01-24   -0.9081402016-01-25    0.4936632016-01-26   -1.7689792016-01-27    0.147327...