arr=np.array([1,2,3,4,5,3,7,8,9])indices=np.where(arr==3)print("numpyarray.com: Indices of value 3:",indices[0]) Python Copy Output: 在这个例子中,我们创建了一个一维数组,然后使用np.where()查找值为3的所有索引。np.where()返回一个元组,其中包含满足条件的索引数组。我们通过indices[0...
Suppose that we are given a 2D numpy array and we need to find the row index of several values in this array. For example, if we are given an array as: [[1, 2], [3, 4], [5, 6], [7, 8], [9, 10]] And, we need to extract the indices of [1,2], [5,6] and [9...
N=600851475143LIM=10**6deffactor(n):#1\.Create arrayoftrial values a=np.ceil(np.sqrt(n))lim=min(n,LIM)a=np.arange(a,a+lim)b2=a**2-n #2\.Check whether b is a square fractions=np.modf(np.sqrt(b2))[0]#3\.Find0fractions indices=np.where(fractions==0)#4\.Find the first o...
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3,8,5])# an array of indices>>>a[i]# the elements of `a` at the positions `i`array(...
代码如下: 方法一： //最小值 Array.prototype.min = function() { var min = this[0]; var ...
indices=np.array([0,2]) result=data[:,indices] print(result) 4. 随机数生成 NumPy提供了丰富的随机数生成函数,可以用于模拟随机实验、生成随机样本等。这些功能对于统计学、机器学习等领域的模拟和实验非常有用。 99 1 2 3 4 5 6 7
Indices of elements equal to zero of the said array: [1 3 5] Explanation: In the above code – nums = np.array([1,0,2,0,3,0,4,5,6,7,8]): Create a NumPy array 'nums' containing the specified integer values. np.where(nums == 0): Use the np.where() function to find the...
importnumpyasnp# create a 5x5 array with random valuesnums=np.random.rand(5,5)print("Original array elements:")print(nums)# find the indices of the second-largest value in each columnindices=np.argsort(nums,axis=0)[-2,:]# get the second-largest value in each column using the indices...
rows, cols = np.triu_indices(A.shape[0], 1) # find the cross products using numpy indexing on A, and the np.cross can take array of vectors cross = np.cross(A[rows], A[cols]) # find the values that are close to 0 arg = np.argwhere(np.isclose(0, (cross * cross).sum(axis...