from numpy import * import numpy as np # numpy数组排序 # 先看一个例子输入姓名和值 输出姓名根据值大小排序 names = array(['spring', 'oko', 'james', 'cisco']) weights = array([20.8, 3.0, 40.2, 99]) # argsort 反回由小到大的索引array list index = argsort(weights) print(names[index]) # 升序 print(names[index[::-1]]) # 降序 # sort 函数不会改变值排序 sort(weights) print(weights) # [20.8 3. 40.2 99. ] # sort方法会改变数组值排序 weights.sort() print(weights) # [ 3. 20.8 40.2 99. ] # 二维数组排序 a = array([ [.2, .1, .5], [.4, .8, .3], [.9, .6, .7] ]) display = sort(a) print(display) """ 默认沿着最后维度排序 [[0.1 0.2 0.5] [0.3 0.4 0.8] [0.6 0.7 0.9]] """ display = sort(a, axis=0) # 改变轴 对每一列排序 print(display) # 提取数组中在指定界限之间的所有值,要求是排序好的数组 data = np.random.rand(100) data.sort() bounds = .4, .6 low_index, high_index = searchsorted(data, bounds) # bounds为元组 result = data[low_index:high_index].copy() print(result)
numpy数组排序
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