spiketools.utils.data.permute_vector¶
- spiketools.utils.data.permute_vector(data, n_permutations=1000)[source]¶
Create permutations of a vector of data.
- Parameters:
- data1d array
Vector to permute.
- n_permutationsint, optional, default: 1000
Number of permutations to do.
- Returns:
- permutations2d array
Permutations of the input data.
Notes
Code adapted from here: https://stackoverflow.com/questions/46859304/
This function doesn’t have any randomness - for a given array it will iterate through the same set of permutations, in sequence.
Examples
Create permutations for a vector of data:
>>> data = np.array([0, 5, 10, 15, 20]) >>> permute_vector(data, n_permutations=4) array([[ 0, 5, 10, 15, 20], [ 5, 10, 15, 20, 0], [10, 15, 20, 0, 5], [15, 20, 0, 5, 10]])