Trace.slide(window_length, step, offset=0, include_partial_windows=False, nearest_sample=True)[source]

Generator yielding equal length sliding windows of the Trace.

Please keep in mind that it only returns a new view of the original data. Any modifications are applied to the original data as well. If you don’t want this you have to create a copy of the yielded windows. Also be aware that if you modify the original data and you have overlapping windows, all following windows are affected as well.


>>> import obspy
>>> tr = obspy.read()[0]
>>> for windowed_tr in tr.slide(window_length=10.0, step=10.0):
...     print("---")  
...     print(windowed_tr)
... | 2009-08-24T00:20:03.000000Z - 2009-08-24T00:20:13.000000Z | ...
... | 2009-08-24T00:20:13.000000Z - 2009-08-24T00:20:23.000000Z | ...
  • window_length (float) – The length of each window in seconds.

  • step (float) – The step between the start times of two successive windows in seconds. Can be negative if an offset is given.

  • offset (float) – The offset of the first window in seconds relative to the start time of the whole interval.

  • include_partial_windows (bool) – Determines if windows that are shorter then 99.9 % of the desired length are returned.

  • nearest_sample (bool, optional) –

    If set to True, the closest sample is selected, if set to False, the inner (next sample for a start time border, previous sample for an end time border) sample containing the time is selected. Defaults to True.

    Given the following trace containing 6 samples, “|” are the sample points, “A” is the requested starttime:

    |         |A        |         |       B |         |
    1         2         3         4         5         6

    nearest_sample=True will select samples 2-5, nearest_sample=False will select samples 3-4 only.