tslearn.utils.to_pyts_dataset¶
- tslearn.utils.to_pyts_dataset(X)[source]¶
Transform a tslearn-compatible dataset into a pyts dataset.
- Parameters:
- X: array, shape = (n_ts, sz, d)
tslearn-formatted dataset to be cast to pyts format
- Returns:
- array, shape=(n_ts, sz) if d=1, (n_ts, d, sz) otherwise
pyts-formatted dataset
Examples
>>> tslearn_arr = numpy.random.randn(10, 16, 1) >>> pyts_arr = to_pyts_dataset(tslearn_arr) >>> pyts_arr.shape (10, 16) >>> tslearn_arr = numpy.random.randn(10, 16, 2) >>> pyts_arr = to_pyts_dataset(tslearn_arr) >>> pyts_arr.shape (10, 2, 16) >>> tslearn_arr = [numpy.random.randn(16, 1), numpy.random.randn(10, 1)] >>> to_pyts_dataset(tslearn_arr) Traceback (most recent call last): ... ValueError: All the time series in the array should be of equal lengths