How to append a NumPy array to a Python list and print the result?

Last update on April 29 2025 12:54:27 (UTC/GMT +8 hours)

20. Array Append to List Conversion

Write a NumPy program to append a NumPy array to a Python list and print the result.

Sample Solution:

Python Code:

import numpy as np

# Create a Python list
python_list = [1, 2, 3]
print("Original Python list:",python_list)
print(type(python_list))
# Create a NumPy array
numpy_array = np.array([4, 5, 6])
print("\nOriginal NumPy list:",numpy_array)
print(type(numpy_array))
# Append the NumPy array to the Python list
# Convert the NumPy array to a list before appending
combined_list = python_list + numpy_array.tolist()
print("\nCombined list:")
# Print the resulting list
print(combined_list)
print(type(combined_list))

Output:

Original Python list: [1, 2, 3]
<class 'list'>

Original NumPy list: [4 5 6]
<class 'numpy.ndarray'>

Combined list:
[1, 2, 3, 4, 5, 6]
<class 'list'>

Explanation:

Import NumPy Library: Import the NumPy library to handle arrays.
Create Python List: Define a Python list with some example data.
Create NumPy Array: Define a NumPy array with some example data.
Append Array to List: Convert the NumPy array to a list using the tolist() method and append it to the Python list using the + operator.
Print Resulting List: Output the combined list to verify the append operation.

For more Practice: Solve these Related Problems:

Write a Numpy program to append a NumPy array to a Python list and then flatten the combined structure into a single list.
Write a Numpy program to convert a NumPy array to a list, append another list of elements, and then convert back to an array verifying the new shape.
Write a Numpy program to append a multidimensional NumPy array to a Python list and then use list comprehensions to extract specific subarrays.
Write a Numpy program to merge a Python list with a NumPy array by appending and then performing a vectorized operation on the combined data.

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