fatf.utils.distances.euclidean_distance¶
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fatf.utils.distances.euclidean_distance(x: Union[numpy.ndarray, numpy.void], y: Union[numpy.ndarray, numpy.void]) → float[source]¶ Calculates the Euclidean distance between two 1-dimensional numpy “arrays”.
Each of the input arrays can be either a 1D numpy array or a row of a structured numpy array, i.e. numpy’s void.
- Parameters
- xUnion[numpy.ndarray, numpy.void]
The first numpy array (has to be 1-dimensional and purely numerical).
- yUnion[numpy.ndarray, numpy.void]
The second numpy array (has to be 1-dimensional and purely numerical).
- Returns
- distancefloat
Euclidean distance between the two numpy arrays.
- Raises
- IncorrectShapeError
Either of the input arrays is not 1-dimensional or they are not of the same length.
- ValueError
Either of the input arrays is not purely numerical.
