dask.array.arange

dask.array.arange¶

dask.array.arange(*args, chunks='auto', like=None, dtype=None, **kwargs)[source]¶

Return evenly spaced values from start to stop with step size step.

The values are half-open [start, stop), so including start and excluding stop. This is basically the same as python’s range function but for dask arrays.

When using a non-integer step, such as 0.1, the results will often not be consistent. It is better to use linspace for these cases.

Parameters

startint, optional: The starting value of the sequence. The default is 0.
stopint: The end of the interval, this value is excluded from the interval.
stepint, optional: The spacing between the values. The default is 1 when not specified. The last value of the sequence.
chunksint: The number of samples on each block. Note that the last block will have fewer samples if len(array) % chunks != 0. Defaults to “auto” which will automatically determine chunk sizes.
dtypenumpy.dtype: Output dtype. Omit to infer it from start, stop, step Defaults to None.
likearray type or None: Array to extract meta from. Defaults to None.

Returns

samplesdask array