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By default, a Pandas index is a series of integers ascending from 0, similar to the indices of Python arrays. However, indices can use any NumPy data type, including floating point, timestamps, or strings. [4]: 112 Pandas' syntax for mapping index values to relevant data is the same syntax Python uses to map dictionary keys to values.
An n-dimensional multi-index is an -tuple = (,, …,) of non-negative integers (i.e. an element of the -dimensional set of natural numbers, denoted ).. For multi ...
Searching for a value in a trie is guided by the characters in the search string key, as each node in the trie contains a corresponding link to each possible character in the given string. Thus, following the string within the trie yields the associated value for the given string key.
The Carstairs index for each area is the sum of the standardised values of the components. Indices may be positive or negative, with negative scores indicating that the area has a lower level of deprivation, and positive scores suggesting the area has a relatively higher level of deprivation. [citation needed]