tslearn.utils.to_cesium_dataset

tslearn.utils.to_cesium_dataset(X)

Transform a tslearn-compatible dataset into a cesium dataset.

Parameters:

X: array, shape = (n_ts, sz, d), where n_ts=1

tslearn-formatted dataset to be cast to cesium format

Returns:

list of cesium TimeSeries

cesium-formatted dataset (cf. link)

Notes

Conversion from/to cesium format requires cesium to be installed.

Examples

>>> tslearn_arr = numpy.random.randn(3, 16, 1)
>>> cesium_ds = to_cesium_dataset(tslearn_arr)
>>> len(cesium_ds)
3
>>> cesium_ds[0].measurement.shape
(16,)
>>> tslearn_arr = numpy.random.randn(3, 16, 2)
>>> cesium_ds = to_cesium_dataset(tslearn_arr)
>>> len(cesium_ds)
3
>>> cesium_ds[0].measurement.shape
(2, 16)
>>> tslearn_arr = [[1, 2, 3], [1, 2, 3, 4]]
>>> cesium_ds = to_cesium_dataset(tslearn_arr)
>>> len(cesium_ds)
2
>>> cesium_ds[0].measurement.shape
(3,)