使用 SciPy 计算欧几里得距离

欧氏距离是两个实值向量之间的距离。大多数情况下，我们使用它来计算具有数值（浮点数或整数值）的两行数据之间的距离。

让我们看看如何使用SciPy库计算两点之间的欧几里得距离-

示例

# Importing the SciPy library fromscipy.spatialimport distance # Defining the points A = (1, 2, 3, 4, 5, 6) B = (7, 8, 9, 10, 11, 12) print(A, B)输出结果(1, 2, 3, 4, 5, 6), (7, 8, 9, 10, 11, 12)

示例

# Importing the SciPy library fromscipy.spatialimport distance # Defining the points A = (1, 2, 3, 4, 5, 6) B = (7, 8, 9, 10, 11, 12) euclidean_distance = distance.euclidean(A, B) print(Euclidean Distance b/w, A, and, B, is: , euclidean_distance)输出结果Euclidean Distance b/w (1, 2, 3, 4, 5, 6) and (7, 8, 9, 10, 11, 12) is: 14.696938456699069