[SciPy-user] timeseries - mov_average_expw alters it's input

Dave Hirschfeld dave.hirschfeld@gmail....
Fri May 8 08:21:16 CDT 2009


As demonstrated below the mov_average_expw function changes its input series.
Is this known or expected behaviour or a bug? I'd venture to suggest it's a
little surprising, especially for new users.

-Dave

 from copy import deepcopy
 import numpy.ma as ma
 from numpy.random import rand
 import scikits.timeseries as ts
 from scikits.timeseries.lib.moving_funcs import mov_average_expw

 N = 256
 series = ts.time_series(rand(N),
                 ts.date_array(start_date=ts.Date('D','2008-01-01'),length=N))
 series[96:128] = ma.masked
 original_series = deepcopy(series)
 filtered_series = mov_average_expw(series,16)

 assert (series.mask == original_series.mask).all()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AssertionError

 assert (filtered_series.mask == series.mask).all()

 ts.__version__
'0.91.1'
 import numpy as np; np.__version__
'1.4.0.dev6882'



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