normalized_vectors¶
- halotools.utils.normalized_vectors(vectors)[source]¶
Return a unit-vector for each n-dimensional vector in the input list of n-dimensional points.
- Parameters:
- xndarray
Numpy array of shape (npts, ndim) storing a collection of n-dimensional points
- Returns:
- normed_xndarray
Numpy array of shape (npts, ndim)
Examples
Let’s create a set of semi-random 3D unit vectors.
>>> npts = int(1e3) >>> ndim = 3 >>> x = np.random.random((npts, ndim)) >>> normed_x = normalized_vectors(x)