is_arraylike(x)

This function tests specifically for an object that already has array attributes (e.g. np.ndarray, dask.array.Array, cupy.ndarray, sparse.COO), NOT for something that can be coerced into an array object (e.g. Python lists and tuples). It is meant for dask developers and developers of downstream libraries.

Note that this function does not correspond with NumPy's definition of array_like, which includes any object that can be coerced into an array (see definition in the NumPy glossary): https://numpy.org/doc/stable/glossary.html

Is this object a numpy array or something similar?

Examples

This example is valid syntax, but we were not able to check execution

>>> import numpy as np
... is_arraylike(np.ones(5))
True

This example is valid syntax, but we were not able to check execution

>>> is_arraylike(np.ones(()))
True

This example is valid syntax, but we were not able to check execution

>>> is_arraylike(5)
False

This example is valid syntax, but we were not able to check execution

>>> is_arraylike('cat')
False

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.utils.is_arraylike

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