代码详解: from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.neighbors import KNeighborsClassifier import matplotlib.pyplot as plt from pylab import mp
Python 2.7.10 (default, Oct 14 2015, 16:09:02) [GCC 5.2.1 20151010] on linux2 Type "copyright", "credits" or "license()" for more information. >>> def fun1(): return [1,2,3] >>> print(fun1) <function fun1
之前只知道设置变量的初始值为0.今天在写网络路径分析的时候,为了找到离任意坐标距离最近的节点,初始设置最短距离为无穷大,然后不断的去替换,直到找到最近的节点. 刚开始设置是min_dis = 999999999999,作为距离不是特别大的也是可以的,于是试想是不是Python提供了有无穷大的表示方法,查阅文档,果然如此: from random import randrange seq = [randrange(10**10) for i in range(100)] dd = float("i