Column Vector¶

column_conversion(vector)¶

Converts a row vector into a column vector

Parameters: vector (list of int or float) – List of numbers representing a vector
Raises: TypeError – Argument must be a 1-dimensional list
Returns: column – List in which each element is a list containing an element from the input vector
Return type: list of lists of int or float

See also

Notes

Row vector: \(\langle a_1, a_2, \cdots, a_n \rangle\)
Column vector: \(\left\langle\begin{matrix} a_1, \\ a_2, \\ \cdots, \\ a_n \end{matrix}\right\rangle\)

Examples

Import column_conversion function from regressions library

>>> from regressions.vectors.column import column_conversion

Convert [1, 2, 3]

>>> column_3d = column_conversion([1, 2, 3])
>>> print(column_3d)
[[1], [2], [3]]

Convert [-7, 5]

>>> column_2d = column_conversion([-7, 5])
>>> print(column_2d)
[[-7], [5]]