使用 SciPy 计算曼哈顿距离
曼哈顿距离，也称为城市街区距离，计算为两个向量之间的绝对差之和。它主要用于描述统一网格（例如城市街区或棋盘）上的对象的向量。
SciPy为我们提供了一个名为cityblock的函数，它返回两点之间的曼哈顿距离。让我们看看如何使用SciPy库计算两点之间的曼哈顿距离-
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)
# Computing the Manhattan distance
manhattan_distance = distance.cityblock(A, B)
print('Manhattan Distance b/w', A, 'and', B, 'is: ', manhattan_distance)输出结果Manhattan Distance b/w (1, 2, 3, 4, 5, 6) and (7, 8, 9, 10, 11, 12) is: 36