Sort NumPy Arrays By Columns or Rows

Utilize NumPy’s built-in functions to make sorting simple. This article will go through sorting single columns and rows and sorting multiple columns using simple examples with code.

NumPy is a fundamental module used in many Python programs and analyses because it conducts numerical computations very efficiently. However, for those new to NumPy, it can be difficult to grasp at first. Specifically, understanding array indexing and sorting quickly becomes complex. Fortunately, NumPy has some built-in functions that make performing basic sorting operations quite simple. NumPy arrays can be sorted by a single column, row, or by multiple columns or rows using the argsort() function. The argsort function returns a list of indices that will sort the values in an array in ascending value. The kind argument of the argsort function makes it possible to sort arrays on multiple rows or columns. This article will go through sorting single columns and rows and sorting multiple columns using simple examples with code.

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