NumPy Array Sorting
In this article, we will examine the different techniques of NumPy Array Sort to sort arrays, and provide examples of how to use them.
Whether you need to sort a one-dimensional array or a multi-dimensional array, NumPy has you covered with fast and flexible sorting functions.
NumPy Array Sort()
In Numpy array sorting, objects are organized in a sequential manner.
Numeric sequences, alphabetical sequences, ascending sequences, and descending sequences are categorized as arranged sequences.
There is a function known as sort() on the ndarray object of NumPy that organizes arrays.
Organize the array as follows:
Example:
You can arrange the array by applying the sort() function:
Example:
In addition to strings, you can organize arrays of whatever type of data.
In alphabetical order, organize the array:
Example:
Order the array sequentially as follows:
Example:
A boolean array can be organized as follows:
Example:
Arrange a boolean array in a specific manner as described below.
Example:
Sorting 2-D Array
Numpy array sort will order the two arrays if you execute the sort() method on a two-dimensional array:
Arrange a two-dimensional array in a specific order utilizing a sort() method.
Example:
Implement the sort() method, then order a two-dimensional array in a specific sequence.
Example:
