pynapple.core.time_series.TsdTensor.bin_average#

TsdTensor.bin_average(bin_size, ep=None, time_units='s')#

Bin the data by averaging points within bin_size bin_size should be seconds unless specified. If no epochs is passed, the data will be binned based on the time support.

Parameters:

  • bin_size (float) – The bin size (default is second)

  • ep (None or IntervalSet, optional) – IntervalSet to restrict the operation

  • time_units (str, optional) – Time units of bin size (‘us’, ‘ms’, ‘s’ [default])

Returns:

out – A Tsd object indexed by the center of the bins and holding the averaged data points.

Return type:

Tsd, TsdFrame, TsdTensor

Examples

This example shows how to bin data within bins of 0.1 second.

>>> import pynapple as nap
>>> import numpy as np
>>> tsd = nap.Tsd(t=np.arange(100), d=np.random.rand(100))
>>> bintsd = tsd.bin_average(0.1)

An epoch can be specified:

>>> ep = nap.IntervalSet(start = 10, end = 80, time_units = 's')
>>> bintsd = tsd.bin_average(0.1, ep=ep)

And bintsd automatically inherit ep as time support:

>>> bintsd.time_support
>>>    start    end
>>> 0  10.0     80.0