# Right-justify elements of an array and set the characters to use for padding in Numpy

NumpyServer Side ProgrammingProgramming

To right-justify elements of an array and set the characters to use for padding, use the numpy.char.rjust() method in Python Numpy. The "width" parameter is the length of the resulting strings. The "fillchar" parameter is the character to use for padding.

The function returns an output array of str or unicode, depending on input type. The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.

## Steps

At first, import the required library −

import numpy as np

Create a One-Dimensional array of string −

arr = np.array(['Tom', 'John', 'Kate', 'Amy', 'Brad'])


Displaying our array −

print("Array...\n",arr)

Get the datatype −

print("\nArray datatype...\n",arr.dtype)


Get the dimensions of the Array −

print("\nArray Dimensions...\n",arr.ndim)

Get the shape of the Array −

print("\nOur Array Shape...\n",arr.shape)


Get the number of elements of the Array −

print("\nElements in the Array...\n",arr.size)

To right-justify elements of an array and set the characters to use for padding, use the numpy.char.rjust() method. The "width" parameter is the length of the resulting strings. The "fillchar" parameter is the character to use for padding −

## Output

Array...
['Tom' 'John' 'Kate' 'Amy' 'Brad']

Array datatype...
<U4

Array Dimensions...
1

Our Array Shape...
(5,)

Number of elements in the Array...
5

Result...
['Tom' '$$John' '$$$Kate' 'Amy' '$Brad']
Updated on 17-Feb-2022 11:37:05

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