print(np.union1d(array1, array2)): The np.union1d function returns the sorted union of the two input arrays, which consists of all unique elements from both ‘array1’ and ‘array2’. In this case, the union is [0, 10, 20, 30, 40, 50, 60, 70, 80], so the output will be ...
import numpy as np # Define multiple 1D arrays arr1 = np.array([1, 2, 3]) arr2 = np.array([2, 3, 4]) arr3 = np.array([4, 5, 6]) # Compute the union of three arrays # Union of first two arrays union_temp = np.union1d(arr1, arr2) # Union with the third array uni...
print(union) > [ -5 -1 0 2 3 20 100] 参考: numpy.union1d numpy.intersect1d numpy.setdiff1d 【冰糖Python】numpy 差集、异或集、并集、交集 setdiff1d() setxor1d() union1d() intersect1d() How to find intersection between two Numpy arrays? NumPy Set Operations – A Detailed Guide! 2. ...
In the following example, we are calculating the union of two arrays using the union1d() function in NumPy − Open Compiler importnumpyasnp# Define two arraysarray1=np.array([1,2,3,4,5])array2=np.array([4,5,6,7,8])# Find union of the two arraysunion=np.union1d(array1,array2...
numpy.union1d(ar1, ar2)Find the union of two arrays. Return the unique, sorted array of values that are in either of the two input arrays. 【例】计算两个集合的并集,唯一化并排序。 AI检测代码解析 import numpy as np from functools import reduce ...
numpy.union1d(ar1, ar2)Find the union of two arrays. Return the unique, sorted array of values that are in either of the two input arrays. 【例】计算两个函数的并集,唯一化并排序。 import numpy as np from functools import reduce
To find the unique values of two arrays, use the union1d() method.Example Find union of the following two set arrays: import numpy as np arr1 = np.array([1, 2, 3, 4])arr2 = np.array([3, 4, 5, 6]) newarr = np.union1d(arr1, arr2) print(newarr) Try it Yourself »...
np.unique(a)#去重并自动排序np.intersect1d(a,b)#交集np.union1d(a,b)#并集np.setdiff1d(a,b)#差集np.setxor1d(a,b)#Find the set exclusive-or of two arrays.np.square(a)#平方np.sin(a) np.sqrt(a)#开根号np.log10(a) np.exp(a)#np.abs(a) ...
import numpy as np array1 = np.array([[10, 20, 30], [14, 24, 36]]) array2 = np.array([[20, 40, 50], [24, 34, 46]]) # Find the union of two arrays. print(np.union1d(array1, array2)) # Find the intersection of two arrays. print(np.intersect1d(array1, array2)) ...
numpy.union1d(ar1, ar2) Find the union of two arrays. import numpy as np from functools import reduce x = np.union1d([-1, 0, 1], [-2, 0, 2]) print(x) x = reduce(np.union1d, ([1, 3, 4, 3], [3, 1, 2, 1], [6, 3, 4, 2])) print(x) [-2 -1 0 1 2][...