Separate a Vector¶

separate_elements(vector)¶

Separates a single vector into two vectors based their data types (numerical and non-numerical)

Parameters

vector (list of int or float or str) – List containing elements of various types: integers, floats, strings, or None

Raises

TypeError – Elements of argument must be integers, floats, strings, or None

Returns

separate_vectors[‘numerical’] (list of int or float) – List containing only the integer or float elements from the input vector; may be an empty list if input vector contained no integer or float elements
separate_vectors[‘other’] (list of str) – List containing only the string or None elements from the input vector; may be an empty list if input vector contained no string elements and did not merely contain None

See also

generate_generate_elements(), unite_vectors()

Notes

Set of all real numbers: \(\mathbb{R}\)
Set of all strings: \(\mathbb{S}\)
Set containing None: \(\{ \emptyset \}\)
Set of all real numbers, all strings, and None: \(\mathbb{A} = \{ \mathbb{R}, \mathbb{S}, \emptyset \}\)
Set of mixed elements: \(M = \{ m \mid m \in \mathbb{A} \}\)
Set of numerical elements from mixed elements: \(N = \{ n \mid n \in M, n \in \mathbb{R} \}\)
Set of non-numerical elements from mixed elements: \(O = \{ o \mid o \in M, o \in \mathbb{S} \cup \emptyset \}\)

Examples

Import separate_elements function from regressions library

>>> from regressions.vectors.separate import separate_elements

Separate [1, ‘two’, 3, ‘four’] into two vectors based on its data types

>>> separate_vectors_mixed = separate_elements([1, 'two', 3, 'four'])
>>> print(separate_vectors_mixed['numerical'])
[1, 3]
>>> print(separate_vectors_mixed['other'])
['two', 'four']

Separate [None] into two vectors based on its data types

>>> separate_vectors_none = separate_elements([None])
>>> print(separate_vectors_none['numerical'])
[]
>>> print(separate_vectors_none['other'])
[None]