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numpy string operations | find() function

numpy.core.defchararray.find(arr, sub, start=0, end=None) is another function for doing string operations in numpy.It returns the lowest index in the string where substring sub is found for each element in arr within the range start to end.It returns -1 otherwise.

Parameters:
arr : array_like of str or unicode.
sub : [str or unicode] The substring which to be searched.
start : [ int, optional] The starting location in each string.
end : [ int, optional] The ending location in each string.

Returns : [ndarray] Output array of ints.

Code #1 :




# Python program explaining
# numpy.char.find() method 
  
# importing numpy as geek
import numpy as geek
  
# input arrays  
in_arr = geek.array(['aAaAaA', 'baA', 'abBABba'])
print ("Input array : ", in_arr) 
  
# output arrays 
out_arr = geek.char.find(in_arr, sub ='A')
print ("Output array: ", out_arr) 


Output:

Input array :  ['aAaAaA' 'baA' 'abBABba']
Output array:  [1 2 3]

 
Code #2 :




# Python program explaining
# numpy.char.find() method 
  
# importing numpy as geek
import numpy as geek
  
# input arrays  
in_arr = geek.array(['aAaAaA', 'aA', 'abBABba'])
print ("Input array : ", in_arr) 
  
# output arrays 
out_arr = geek.char.find(in_arr, sub ='a', start = 3, end = 7)
print ("Output array: ", out_arr) 


Output:

Input array :  ['aAaAaA' 'aA' 'abBABba']
Output array:  [ 4 -1  6]

Ted Musemwa
As a software developer I’m interested in the intersection of computational thinking and design thinking when solving human problems. As a professional I am guided by the principles of experiential learning; experience, reflect, conceptualise and experiment.
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