eigenpy_quickstart_numpy_eigen_matrix_conversion.py

1import numpy as np
2import eigenpy
3
4# The following check is useful to ensure the package is correctly installed
5# and the version is compatible.
6if eigenpy.checkVersionAtLeast(2, 0, 0):
7    print("EigenPy version is at least 2.0.0")
8
9# Create a standard NumPy matrix
10matrix = np.random.rand(3, 3)
11
12# eigenpy automatically handles the conversion between NumPy arrays 
13# and Eigen matrices when calling functions exposed via Boost.Python.
14# Below is a common pattern to check if the conversion is working.
15try:
16    # Example of a basic operation: EigenPy ensures that Eigen types 
17    # are mapped to NumPy types.
18    print("Original Matrix:\n", matrix)
19    
20    # In a real-world scenario, you would pass this 'matrix' to a 
21    # C++ function wrapped with eigenpy.
22    # For a quickstart test, we verify the shared memory/conversion:
23    if eigenpy.is_approx(matrix, matrix):
24        print("Conversion and comparison successful.")
25
26except Exception as e:
27    print(f"An error occurred: {e}")