'numpy.ndarray' object has no attribute 'applymap'

The 'numpy.ndarray' object does not have an 'applymap' attribute because the 'applymap' function is specific to pandas DataFrames and Series objects, not numpy arrays.

If you want to apply a function element-wise to a numpy array, you can use the 'numpy.vectorize' function or a loop to achieve this. Here's an example using 'numpy.vectorize':

import numpy as np

# Define a sample function
def square(x):
    return x**2

# Create a numpy array
arr = np.array([1, 2, 3, 4, 5])

# Create a vectorized version of the function
vec_square = np.vectorize(square)

# Apply the function element-wise to the array
result = vec_square(arr)

print(result)

Output:

[ 1  4  9 16 25]

In this example, the 'square' function is applied element-wise to the 'arr' numpy array using 'np.vectorize'. The resulting array 'result' contains the squared values of each element in 'arr'.