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) |
Output:
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) |
Output:
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) |
Output:
Input array : ['1' '11' '111'] Output right justified array: ['----1' '---11' '--111']
