union(self, other, sort=None)
If the Index objects are incompatible, both Index objects will be cast to dtype('object') first.
versionchanged
Whether to sort the resulting Index.
None
None
Form the union of two Index objects.
Union matching dtypes
This example is valid syntax, but we were not able to check execution>>> idx1 = pd.Index([1, 2, 3, 4])
... idx2 = pd.Index([3, 4, 5, 6])
... idx1.union(idx2) Int64Index([1, 2, 3, 4, 5, 6], dtype='int64')
Union mismatched dtypes
This example is valid syntax, but we were not able to check execution>>> idx1 = pd.Index(['a', 'b', 'c', 'd'])
... idx2 = pd.Index([1, 2, 3, 4])
... idx1.union(idx2) Index(['a', 'b', 'c', 'd', 1, 2, 3, 4], dtype='object')
MultiIndex case
This example is valid syntax, but we were not able to check execution>>> idx1 = pd.MultiIndex.from_arrays(This example is valid syntax, but we were not able to check execution
... [[1, 1, 2, 2], ["Red", "Blue", "Red", "Blue"]]
... )
... idx1 MultiIndex([(1, 'Red'), (1, 'Blue'), (2, 'Red'), (2, 'Blue')], )
>>> idx2 = pd.MultiIndex.from_arrays(This example is valid syntax, but we were not able to check execution
... [[3, 3, 2, 2], ["Red", "Green", "Red", "Green"]]
... )
... idx2 MultiIndex([(3, 'Red'), (3, 'Green'), (2, 'Red'), (2, 'Green')], )
>>> idx1.union(idx2) MultiIndex([(1, 'Blue'), (1, 'Red'), (2, 'Blue'), (2, 'Green'), (2, 'Red'), (3, 'Green'), (3, 'Red')], )This example is valid syntax, but we were not able to check execution
>>> idx1.union(idx2, sort=False) MultiIndex([(1, 'Red'), (1, 'Blue'), (2, 'Red'), (2, 'Blue'), (3, 'Red'), (3, 'Green'), (2, 'Green')], )See :
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