在处理数组操作时,删除元素并计算剩余元素的奇偶索引总和是一个常见的需求。以下是一些可能的方法来实现这一目标:
def sum_odd_even_indices_after_removal(arr, index_to_remove):
# 删除指定索引的元素
new_arr = arr[:index_to_remove] + arr[index_to_remove + 1:]
# 计算奇偶索引的总和
odd_sum = sum(new_arr[i] for i in range(1, len(new_arr), 2))
even_sum = sum(new_arr[i] for i in range(0, len(new_arr), 2))
return odd_sum, even_sum
# 示例
arr = [1, 2, 3, 4, 5]
index_to_remove = 2
odd_sum, even_sum = sum_odd_even_indices_after_removal(arr, index_to_remove)
print(f"Odd Sum: {odd_sum}, Even Sum: {even_sum}")
def sum_odd_even_indices_after_removal(arr, index_to_remove):
# 删除指定索引的元素
new_arr = [arr[i] for i in range(len(arr)) if i != index_to_remove]
# 计算奇偶索引的总和
odd_sum = sum(new_arr[i] for i in range(1, len(new_arr), 2))
even_sum = sum(new_arr[i] for i in range(0, len(new_arr), 2))
return odd_sum, even_sum
# 示例
arr = [1, 2, 3, 4, 5]
index_to_remove = 2
odd_sum, even_sum = sum_odd_even_indices_after_removal(arr, index_to_remove)
print(f"Odd Sum: {odd_sum}, Even Sum: {even_sum}")
import numpy as np
def sum_odd_even_indices_after_removal(arr, index_to_remove):
# 转换为NumPy数组
np_arr = np.array(arr)
# 删除指定索引的元素
new_np_arr = np.delete(np_arr, index_to_remove)
# 计算奇偶索引的总和
odd_sum = np.sum(new_np_arr[1::2])
even_sum = np.sum(new_np_arr[::2])
return odd_sum, even_sum
# 示例
arr = [1, 2, 3, 4, 5]
index_to_remove = 2
odd_sum, even_sum = sum_odd_even_indices_after_removal(arr, index_to_remove)
print(f"Odd Sum: {odd_sum}, Even Sum: {even_sum}")
通过以上方法,可以有效地删除数组中的元素并计算剩余元素的奇偶索引总和。
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