spiketools.utils.data.smooth_data

spiketools.utils.data.smooth_data(data, sigma)

Smooth an array of data, using a gaussian kernel.

Parameters:

datandarray

Data to smooth.

sigmafloat

Standard deviation of the gaussian kernel to apply for smoothing.

Returns:

data2d array

The smoothed data.

Notes

This function is applied on a copy of the data (to not change the original). Any NaN values will be set as 0 for smoothing purposes.

Examples

Smooth a 1d data array using a gaussian kernel:

>>> data = np.array([1, 3, 5, 7, 9])
>>> smooth_data(data, sigma=0.8)
array([1, 3, 5, 6, 8])