numpy string operations | ljust() function Last Updated : 05 Feb, 2019 Comments Improve Suggest changes Like Article Like Report numpy.core.defchararray.ljust(arr, width, fillchar=' ') is another function for doing string operations in numpy. It returns an array with the elements of arr left-justified in a string of length width. It fills remaining space of each array element using fillchr parameter. If fillchr is not passed then it fills remaining spaces with blank space. Parameters: arr : array_like of str or unicode.Input array. width : The final width of the each string . fillchar : The character to fill in remaining space. Returns : Output array of str or unicode, depending on input type. Code #1 : Python3 # Python program explaining # numpy.char.ljust() method # importing numpy import numpy as geek # input array in_arr = geek.array(['Numpy', 'Python', 'Pandas']) print ("Input array : ", in_arr) # setting the width of each string to 8 width = 8 # output array when fillchar is not passed out_arr = geek.char.ljust(in_arr, width) print ("Output left justified array: ", out_arr) Output: Input array : ['Numpy' 'Python' 'Pandas'] Output left justified array: ['Numpy ' 'Python ' 'Pandas '] Code #2 : Python3 # Python program explaining # numpy.char.ljust() method # importing numpy import numpy as geek # input array in_arr = geek.array(['Numpy', 'Python', 'Pandas']) print ("Input array : ", in_arr) # setting the width of each string to 8 width = 8 # output array out_arr = geek.char.ljust(in_arr, width, fillchar ='*') print ("Output left justified array: ", out_arr) Output: Input array : ['Numpy' 'Python' 'Pandas'] Output left justified array: ['Numpy***' 'Python**' 'Pandas**'] Code #3 : Python3 # Python program explaining # numpy.char.ljust() method # importing numpy import numpy as geek # input array in_arr = geek.array(['1', '11', '111']) print ("Input array : ", in_arr) # setting the width of each string to 5 width = 5 # output array out_arr = geek.char.ljust(in_arr, width, fillchar ='-') print ("Output left justified array: ", out_arr) Output: Input array : ['1' '11' '111'] Output left justified array: ['1----' '11---' '111--'] Comment More info J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-String Operation Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 6 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like