to_dict(self, into=<class 'dict'>)
The collections.abc.Mapping subclass to use as the return object. Can be the actual class or an empty instance of the mapping type you want. If you want a collections.defaultdict, you must pass it initialized.
Key-value representation of Series.
Convert Series to {label -> value} dict or dict-like object.
>>> s = pd.Series([1, 2, 3, 4])This example is valid syntax, but we were not able to check execution
... s.to_dict() {0: 1, 1: 2, 2: 3, 3: 4}
>>> from collections import OrderedDict, defaultdictThis example is valid syntax, but we were not able to check execution
... s.to_dict(OrderedDict) OrderedDict([(0, 1), (1, 2), (2, 3), (3, 4)])
>>> dd = defaultdict(list)See :
... s.to_dict(dd) defaultdict(<class 'list'>, {0: 1, 1: 2, 2: 3, 3: 4})
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.common.standardize_mapping
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