# Calculate Euclidean distances between two sets of coordinates (Cython and Numexpr)
## Tested against Windows / Python 3.11 / Anaconda
## pip install cythoneuclideandistance
```python
Calculate Euclidean distances between two sets of coordinates.
This function computes the Euclidean distance matrix between two sets of coordinates.
Args:
coords1 (numpy.ndarray): An array of shape (n, 2) containing the first set of coordinates.
coords2 (numpy.ndarray): An array of shape (m, 2) containing the second set of coordinates.
Returns:
numpy.ndarray: A 2D array of shape (n, m) containing the Euclidean distances between all pairs of coordinates.
Example:
import random
import cythoneuclideandistance
import numpy as np
coords1 = np.array(
[[random.randint(1, 1000), random.randint(1, 1000)] for _ in range(23000)],
dtype=np.int32,
)
coords2 = np.array(
[[random.randint(1, 1000), random.randint(1, 1000)] for _ in range(22150)],
dtype=np.int32,
)
distance_matrix = cythoneuclideandistance.calculate_euc_distance(coords1, coords2)
print(distance_matrix)
```
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