pytesmo.time_series.filtering module

Created on Oct 16, 2013

@author: Christoph Paulik christoph.paulik@geo.tuwien.ac.at

pytesmo.time_series.filtering.moving_average(Ser, window_size=1, fillna=False, min_obs=1)[source]

Applies a moving average (box) filter on an input time series

Parameters:

  • Ser (pandas.Series (index must be a DateTimeIndex or julian date)) –

  • window_size (float, optional) – The size of the moving_average window [days] that will be applied on the input Series Default: 1

  • fillna (bool, optional) – Fill nan values at the center window value

  • min_obs (int) – The minimum amount of observations necessary for a valid moving average

Returns:

Ser – moving-average filtered time series

Return type:

pandas.Series