与往常一样,如果为该方法提供的索引超出arr范围,则会抛出IndexError异常。 importnumpyasnp myArray=np.array([1,2,3,4,5,6,7,8,9,10])indexes=[3,5,7,34]modifiedArray=np.delete(myArray,indexes)print(modifiedArray) 输出: Traceback (most recent call last):File "<string>", line 5, in <...
print("remaining elements after deleting 4th element ", np.delete(a,3)) 输出: [1 2 3 4 5 6 7 8 9 10] 删除第 4 个元素后的剩余元素 [1 2 3 5 6 7 8 9 10] 注:本文由VeryToolz翻译自How to remove specific elements from a NumPy array ?,非经特殊声明,文中代码和图片版权归原作者go...
array([a[0, 0], a[1, 1], a[2, 0]])) # Prints "[1 4 5]" # When using integer array indexing, you can reuse the same # element from the source array: print(a[[0, 0], [1, 1]]) # Prints "[2 2]" # Equivalent to the previous integer array indexing example print(np...
是的，我之前已经写过，你不能修改一个数组的位置。但我这么说是因为在大多数情况下，这是不可能的，...
I would like to delete some elements from a numpy array but just as below simplified example code, it works if didn't delete the last element, but it failure if we wish to delete the last element. Below code works fine: import numpy as np values = np.array([0,1,2,3,4,5]) prin...
NumPy Example 3: Remove elements from an array In this example, we will remove specific elements from a given NumPy array. We will create an array of integers and will remove the elements which will be divisible by 5. # Import numpyimportnumpyasnp# Creating a numpy arrayarr=np.array([i...
How to remove specific elements in a numpy array (13 answers) Closed 5 years ago. I want to delete an element from a numpy array by index. The commands arr = np.linspace(-5,5,10) del arr[0] The code above throws an error saying cannot delete array elements. Using pop ...
array([[ 0, 2, 4], [ 6, 8, 10]]) # 更高效的 External Loop,不能和 c_index 或 multi_index 同时使用 >>> for x in np.nditer(a, flags=['external_loop']): print(x, end=' ') [0 1 2 3 4 5] # 同时获取索引 >>> it = np.nditer(a, flags=['multi_index']) ...
a = array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) # a.shape = (3, 4) # 整数及切片索引 # Slice用的是view的方式,而index用的是copy方式 a[1,2] # 6 a[0, [1,2]] # [1, 2] a[0:2, 2:4] # [[2, 3], [6, 7]] a[:, 2:4] # [[2, ...
In the fourth line, we use the 'indices' array to map each element in the input array 'x' to its corresponding unique value from the 'u' array. The resulting mapped array is printed in the output. Example: Finding unique values in an array using numpy.unique() with return_inverse=True...