Fill Masked values in NumPy array with specified number
NumPy: Masked Arrays Exercise-2 with Solution
Write a NumPy program that creates a masked array and fills the masked values with a specified number.
Sample Solution:
Python Code:
import numpy as np # Import NumPy library
# Create a regular NumPy array
data = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
# Create a mask to specify which values to mask
mask = np.array([False, True, False, True, False, True, False, True, False, True])
# Create a masked array using the regular array and the mask
masked_array = np.ma.masked_array(data, mask=mask)
# Fill the masked values with a specified number (e.g., -1)
filled_array = np.ma.filled(masked_array, fill_value=-1)
# Print the original masked array and the filled array
print("Original Masked Array:")
print(masked_array)
print("\nFilled Array:")
print(filled_array)
Output:
Original Masked Array: [1 -- 3 -- 5 -- 7 -- 9 --] Filled Array: [ 1 -1 3 -1 5 -1 7 -1 9 -1]
Explanation:
- Import NumPy Library:
- Import the NumPy library to handle array operations.
- Create a Regular Array:
- Define a NumPy array with integer values from 1 to 10.
- Define the Mask:
- Create a Boolean mask array where True indicates the values to be masked.
- Create the Masked Array:
- Use “np.ma.masked_array()” to create a masked array from the regular array and the mask.
- Fill Masked Values:
- Use "np.ma.filled()" to replace masked values in the masked array with a specified number (e.g., -1).
- Finally print the original masked array and the filled array to verify the operation.
Python-Numpy Code Editor:
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