gwexpy.interop.dask_

Functions

from_dask(cls, array, t0, dt[, unit, compute])

Create TimeSeries from dask array.

to_dask(ts[, chunks])

Convert a TimeSeries to a dask.array.Array.
gwexpy.interop.dask_.to_dask(ts, chunks='auto')[source]

Convert a TimeSeries to a dask.array.Array.

gwexpy.interop.dask_.from_dask(cls, array, t0, dt, unit=None, compute=True)[source]

Create TimeSeries from dask array.

Parameters:

  • cls (type) – Class to instantiate from the array data.

  • array (dask.array.Array) – Input dask array containing the sample values.

  • t0 (float or Quantity) – Start time for the output series.

  • dt (float or Quantity) – Sample spacing for the output series.

  • unit (str or Unit, optional) – Unit to assign to the output series.

  • compute (bool) – If True, compute the array to numpy immediately. If False, TimeSeries will hold the dask array (if underlying class supports it, gwpy TimeSeries usually expects numpy, so caution). Default True for safety.