Create a custom ufunc for complex numbers in NumPy
18. Custom Ufunc for Complex Number Operations
ufunc with Custom Data Types:
Write a NumPy program that creates a custom ufunc to operate on complex numbers in a NumPy array.
Sample Solution:
Python Code:
Output:
Original Complex Array: [1.+2.j 3.+4.j 5.+6.j] Result Array after applying custom ufunc: [3.0 7.0 11.0]
Explanation:
- Import NumPy Library:
- Import the NumPy library to handle array operations.
- Define Custom Function:
- Create a custom Python function custom_complex_operation to operate on complex numbers. This function returns the sum of the real and imaginary parts of a complex number.
- Convert to NumPy ufunc:
- Use "np.frompyfunc()" to convert the custom function to a NumPy ufunc, specifying that the function takes one input and returns one output.
- Create Complex Array:
- Define a NumPy array complex_array containing complex numbers.
- Apply Custom ufunc:
- Use the custom "ufunc" to operate on the complex array, storing the results in 'result_array'.
- Finally print the original complex array and the resulting array after applying the custom "ufunc" to verify the operation.
For more Practice: Solve these Related Problems:
- Write a Numpy program to define a custom ufunc that computes the magnitude of complex numbers in an array.
- Write a Numpy program to create a custom ufunc that applies a complex conjugate operation and then scales the result by a given factor.
- Write a Numpy program to build a custom ufunc that extracts the phase angle from each element in a complex array and then normalizes it.
- Write a Numpy program to develop a custom ufunc that computes the product of two complex numbers element-wise and verify with np.multiply.
Go to:
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Next: Combine Boolean arrays using np.logical_and in NumPy.
Python-Numpy Code Editor:
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