How do we handle differences in dates in regular
python and then in
> from dateutil.parser import parse
> a = parse('2013-01-01')
> b = parse('2013-01-31')
> a - b
Given two date objects the difference is a
timedelta object which is part of the
datetime module. That object has a
.days attribute which has gives an integer value which is easier to work with. After that it's up to the user to up or down sample it to a different time scale... eg
(a-b).days/7 would be the difference in weeks.
Numpy as a timedelta64 object that contains meta data for the time period and the actual difference represented.
> import numpy as np
> diff = np.datetime64('2013-01-01') - np.datetime64('2013-01-31')
Re-sampling can then by done by "dividing" by another
timedelta64 object that is at the level of interest... eg
diff / np.timedelta64(1, 'W') is
-4.28. Also, to get to a real number to work with
In both cases an object that represents a time delta can be added to a date object to reconstruct the time that would be there.