NumPy String: numpy.char.mod() function

numpy.char.mod() function

numpy.char.mod() is used to apply string formatting to arrays of strings element-wise. It is similar to the % operator used for string formatting in Python, but operates on NumPy arrays instead of individual strings.

This function is useful in -

• Formatting text data in arrays: You can use numpy.char.mod() to format text data stored in NumPy arrays for further processing or analysis. This can be useful when you need to format data for output, such as generating reports, tables, or other structured text.
• Creating labels or annotations: You can use numpy.char.mod() to create labels or annotations for data visualizations, where you need to combine numerical and textual data in a consistent format across multiple elements.

Syntax:

numpy.char.mod(a, values)

Parameters:

Return value:

out : ndarray - Output array of str or unicode, depending on input types.

Example: Converting integer arrays to string arrays using NumPy's char.mod()

import numpy as np  
a = np.array([0, 120, 1254872])
print("Integer arays:")
print (a) 
print("String arrays")
s = np.char.mod('%d', a)
print(s)

Output:

Integer arays:
[      0     120 1254872]
String arrays:
['0' '120' '1254872']

In the above code -
The numpy.char.mod() function is called with the format string '%d' (which represents an integer placeholder) and the integer array 'a' as arguments. This applies the integer-to-string conversion to each element of the array 'a' and returns a new string array 's'.

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