numpy string operations | ljust() function
Last Updated :
05 Feb, 2019
Improve
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 :
# 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:
Code #2 :
Input array : ['Numpy' 'Python' 'Pandas'] Output left justified array: ['Numpy ' 'Python ' 'Pandas ']
# 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:
Code #3 :
Input array : ['Numpy' 'Python' 'Pandas'] Output left justified array: ['Numpy***' 'Python**' 'Pandas**']
# 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--']
