添加了produce_count来跟踪每个产品名称在第三个位置出现的次数。对于每个文件，它确保拆分列表中有足够的部分以避免错误。如果一切正常，它会为该特定产品的计数加1。

import os
from collections import defaultdict

# local path to files.
path_in = '/Users/username/Downloads/my_list' 

# Initialize the dictionary for counting occurrences
produce_count = defaultdict(int)

for file in os.listdir(path_in):
    # split produce item by name via '_' delimiter.
    split_file = file.lower().split('_') # 3rd Element only since produce.
    
    # Check if there are enough elements to avoid IndexError
    if len(split_file) > 2:
        produce_name = split_file[2]
        produce_count[produce_name] += 1

# Print the results
for produce, count in produce_count.items():
    print(f'{produce} {count}')

假设您的目录中有以下文件：

user_01_apple_001.txt
user_02_orange_002.txt
user_03_apple_003.txt
user_04_banana_004.txt
user_05_apple_005.txt
user_06_apple_006.txt
user_07_orange_007.txt
user_08_orange_008.txt
user_09_banana_009.txt
user_10_orange_010.txt

输出：

apple 4
orange 4
banana 2

您可以使用默认值来统计字典。

import os
from collections import defaultdict

# local path to files.
path_in = '/Users/username/Downloads/my_list' 
counter = defaultdict(lambda *args: 0)
for file in os.listdir(path_in):
        # split produce item by name via '_' delimiter.
        split_file = file.lower().split('_') # 3rd Element only since produce.
        counter[split_file] += 1

所有类型的produce都将出现在counter的键中，以及它们在values()中出现的次数