cartesian_product(X)

Parameters

X : list-like of list-likes

Returns

product : list of ndarrays

Numpy version of itertools.product. Sometimes faster (for large inputs)...

See Also

itertools.product

Cartesian product of input iterables. Equivalent to nested for-loops.

Examples

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

>>> cartesian_product([list('ABC'), [1, 2]])
[array(['A', 'A', 'B', 'B', 'C', 'C'], dtype='<U1'), array([1, 2, 1, 2, 1, 2])]

See :

Back References

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

pandas.core.reshape.util.cartesian_product

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

---

File: /pandas/core/reshape/util.py#6
type: <class 'function'>
Commit: