Trace.resample(sampling_rate, window='hann', no_filter=True, strict_length=False)[source]

Resample trace data using Fourier method. Spectra are linearly interpolated if required.

  • sampling_rate (float) – The sampling rate of the resampled signal.

  • window (numpy.ndarray, callable, str, float, or tuple, optional) – Specifies the window applied to the signal in the Fourier domain. Defaults to 'hann' window. See scipy.signal.resample() for details.

  • no_filter (bool, optional) – Deactivates automatic filtering if set to True. Defaults to True.

  • strict_length (bool, optional) – Leave traces unchanged for which end time of trace would change. Defaults to False.


The Trace object has three different methods to change the sampling rate of its data: resample(), decimate(), and interpolate()

Make sure to choose the most appropriate one for the problem at hand.


This operation is performed in place on the actual data arrays. The raw data is not accessible anymore afterwards. To keep your original data, use copy() to create a copy of your trace object. This also makes an entry with information on the applied processing in stats.processing of this trace.

Uses scipy.signal.resample(). Because a Fourier method is used, the signal is assumed to be periodic.


>>> tr = Trace(data=np.array([0.5, 0, 0.5, 1, 0.5, 0, 0.5, 1]))
>>> len(tr)
>>> tr.stats.sampling_rate
>>> tr.resample(4.0)  
<...Trace object at 0x...>
>>> len(tr)
>>> tr.stats.sampling_rate
>>> tr.data  
array([ 0.5       ,  0.40432914,  0.3232233 ,  0.26903012,  0.25 ...