numpy.core.defchararray.rjust(arr, width, fillchar=' ')
is another function for doing string operations in numpy. It returns an array with the elements of arr right-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 : [ndarray] Output right justified array of str or unicode, depending on input type.
Code #1 :
# Python program explaining # numpy.char.rjust() 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.rjust(in_arr, width) print ( "Output right justified array: " , out_arr) |
Input array : ['Numpy' 'Python' 'Pandas'] Output right justified array: [' Numpy' ' Python' ' Pandas']
Code #2 :
# Python program explaining # numpy.char.rjust() 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.rjust(in_arr, width, fillchar = '*' ) print ( "Output right justified array: " , out_arr) |
Input array : ['Numpy' 'Python' 'Pandas'] Output right justified array: ['***Numpy' '**Python' '**Pandas']
Code #3 :
# Python program explaining # numpy.char.rjust() 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.rjust(in_arr, width, fillchar = '-' ) print ( "Output right justified array: " , out_arr) |
Input array : ['1' '11' '111'] Output right justified array: ['----1' '---11' '--111']
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.