NumPy builds on (and is a successor to) the successful Numeric array object. Its goal is to create the corner-stone for a useful environment for scientific computing. NumPy provides two fundamental objects: an N-dimensional array object (ndarray) and a universal function object (ufunc).
In this post we are going to discuss ways in which we can find the length of each string element in the given numpy array.
Problem #1 : Given a numpy array whose underlying data is of string type. Find the length of each element in the given object.
Solution : We are going to use numpy.vectorize() function to find the length of each element in the given numpy array object.
# importing the numpy library as np import numpy as np # Create a numpy array arr = np.array(['New York', 'Lisbon', 'Beijing', 'Quebec']) # Print the array print(arr) |
Output :
Now we will use numpy.vectorize() function to find the length of each element in the given numpy array object.
# Use vectorize function of numpy length_checker = np.vectorize(len) # Find the length of each element arr_len = length_checker(arr) # Print the length of each element print(arr_len) |
Output :
As we can see in the output, we have successfully calculated the length of each string element in the given numpy array object.
Problem #2 : Given a numpy array whose underlying data is of string type. Find the length of each element in the given object.
Solution : We are going to use List comprehension technique to find the length of each element in the given numpy array object.
# importing the numpy library as np import numpy as np # Create a numpy array arr = np.array(['New York', 'Lisbon', 'Beijing', 'Quebec']) # Print the array print(arr) |
Output :
Now we will use List comprehension technique to find the length of each element in the given numpy array object.
# Find the length of each element arr_len = [len(i) for i in arr] # Print the length of each element print(arr_len) |
Output :
As we can see in the output, we have successfully calculated the length of each string element in the given numpy array object.
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