toto.filters.moving_average

Run a moving average

Parameters

input_arrayPanda Obj

The Panda dataframe.

N-Points filterint,

Number of point to use.

mode{‘valid’, ‘same’}, optional

‘same’:

Mode ‘same’ returns output of length max(M, N). Boundary effects are still visible.

‘valid’:

Mode ‘valid’ returns output of length max(M, N) - min(M, N) + 1. The convolution product is only given for points where the signals overlap completely. Values outside the signal boundary have no effect.

Note

see <https://numpy.org/doc/stable/reference/generated/numpy.convolve.html>_

toto.filters.moving_average.moving_average(input_array, args={'Mode': {'same': True, 'valid': False}, 'N-Points filter': 0})