# intersect1d(x, y) Compute the sorted, common elements in x and y# union1d(x, y) Compute the sorted union of elements# in1d(x, y) Compute a boolean array indicating whether each element of x is contained in y# setdiff1d(x, y) Set difference, elements in x that are not in y#...
# unique(x) Compute the sorted, unique elements in x # unique(x)与sorted(set(x))实现效果是一样的 # intersect1d(x, y) Compute the sorted, common elements in x and y # union1d(x, y) Compute the sorted union of elements # in1d(x, y) Compute a boolean array indicating whether eac...
Randomly permute a sequence, or return a permuted range. If x is a multi-dimensional array, it is only shuffled along its first index.Parameters:x : int or array_like If x is an integer, randomly permute np.arange(x). If x is an array, make a copy and shuffle the elements randomly...
1, ny) xv, yv = np.meshgrid(x, y) xv array([[ 0. , 0.5, 1. ], [ 0. , 0.5, 1. ]]) yv array([[ 0., 0., 0.], [ 1., 1., 1.]]) xv, yv = np.meshgrid(x, y, sparse=True) # make sparse output arrays xv array([[ 0. , 0.5, 1. ]]) yv array([[ 0.]...
shuffle()函数也可以用于多维数组,但默认只会沿着第一个轴(axis=0)进行洗牌: importnumpyasnp# 创建一个2D数组,包含numpyarray.com相关的数据arr_2d=np.array([['numpy','array','com'],['shuffle','2d','example'],['random','state','demo']])np.random.shuffle(arr_2d)print(arr_2d) ...
import numpy as np # 创建一个示例数组 arr = np.array([1, 2, 3, 4, 5]) # 随机打乱数组元素的顺序(原地操作) np.random.shuffle(arr) # 打印打乱后的数组 print("随机打乱后的数组:", arr) numpy.random.permutation() - 随机排列数组元素的副本 入参: numpy.random.permutation(x) 接受一个数...
shuffle和permutation都是用来打乱一个序列,它们的不同点主要是:shuffle接收的是一个列表,但permuation还可以接收一个自然数,并生成一个打乱的序列。 np.random.permutationhas two differences fromnp.random.shuffle: if passed an array, it will return a shuffledcopyof the array;np.random.shuffleshuffles the...
importnumpyasnp# 生成1000个0到9之间的随机整数uniform_ints=np.random.randint(0,10,size=1000)print("Uniform distribution from numpyarray.com:",np.unique(uniform_ints,return_counts=True)) Python Copy Output: 这个例子生成了1000个0到9之间的随机整数,并统计了每个数字出现的次数。理论上,每个数字应该...
array(object[, dtype, copy, order, subok, ndmin]) 创建一个数组。 asarray(a[, dtype, order]) 将输入转换为数组。 asanyarray(a[, dtype, order]) 将输入转换为ndarray,但将ndarray子类传递到。 ascontiguousarray(a[, dtype]) 返回内存中的连续数组( C顺序)。 asmatrix(data[, dtype]) 将输入解...
percentile_rank = np.array([percentileofscore(arr, value) for value in arr]) print(percentile_rank) [ 20. 40. 60. 80. 100.] 练习86: 创建一个一维数组并随机打乱其元素。 import numpy as np arr = np.array([1, 2, 3, 4, 5]) np.random.shuffle(arr) print(arr) ...