I want to delete all the elements from a Numpy array except the last element and return the Numpy array. For eg: arr = np.array([4, 5, 6, 7, 8, 9, 10, 11]) Output should be:: arr = [11] Please let me know how can I achieve this. We can slice using -1 to start from...
我想从一个 numpy 数组中删除一些元素,但就像下面简化的示例代码一样,如果不删除最后一个元素它就可以工作,但是如果我们想删除最后一个元素它就会失败。下面的代码工作正常: import numpy as np values = np.array([0,1,2,3,4,5]) print values for i in [3,4,1]: values = np.delete(values,i) pri...
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...
a = np.array([1,2,3,4,5,6,7,8,9,10]) print (np.delete(a, np.s_[::2])) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 运行结果: numpy.unique 去除数组中的重复元素 numpy.unique(arr, return_index, return_inverse, return_counts) 1....
然后,使用numpy库中的delete函数删除该索引所在的行。 2. 代码示例 下面是一个简单的示例来演示如何删除数组中的某个元素及其所在的行: importnumpyasnp# 创建一个二维数组arr=np.array([[1,2,3],[4,5,6],[7,8,9]])print("原始数组:")print(arr)# 找到要删除的元素的索引element_index=np.where(arr...
arr8 = np.arange(0, 9, 2) #out : array([0, 2, 4, 6, 8]) 2.2 索引和切片 Numpy可以通过索引或切片来访问和修改,与 Python 中 list 的切片操作一样,设置start, stop 及 step 参数。 2.2.1 元素表示 Numpy数组的下标表示与list是一样的,对于矩阵来说,要注意中括号里要用逗号将行和列的表示进...
Python List给出Numpy Array的错误? 、、、 我有一个二维的列表,它有像(0,1,2,3,4,5)这样的元素。其元素的类型为numpy.ndarray。我正在尝试删除每个元素的第二列。当我检查它的类型时,它返回list,但它给出ValueError: cannot delete array elements错误。我查看了StackOverflow,但没有发现类似的情况。 浏览...
importnumpyasnpmy_array=np.array([[1,2,3],[4,5,6],[7,8,9]])col_to_remove=1new_array...
import numpy as np array1 = np.array([0, 1, 2, 3]) indices = [1, 2] # delete values at indices 1 and 2 array3 = np.delete(array1, obj = indices) print(array3)Output[0 3]Example 3: Delete Element of a 2-D ArraySimilar to a 1-D array, we can delete elements from a...
Numpy arrays do not support random deletion by element. Similar to strings in Python, you need to generate a new array to delete a single or multiple sub elements. Given: >>>a array([[1,2,3,4], [1,2,3,5], [2,5,4,3], [5,2,3,1]])>>>rem array([1,2,3,5]) ...