Pandas 申请多个文件有限制吗？
我的项目有 10.000 个 CSV 数据集。我需要预处理所有这些数据集，但 Pandas 一次只能处理五个数据集？这是我打开所有文件的代码。
path = "./for_processing"
files = [file for file in os.listdir(path) if not file.startswith('.')]
index_cleaned_news = 0
for file in files:
NEWS_DATA = pd.read_csv(path+"/kompas/clean_news"+str(index_cleaned_news)+".csv")
#Process here
NEWS_DATA.to_csv(path+"/process_kompas/preprocess_news"+str(index_cleaned_news)+".csv")
index_cleaned_news = index_cleaned_news+1
这是我尝试运行代码时的屏幕截图 
有人知道如何解决这个问题还是 Pandas 的规则？谢谢
I have 10.000 CSV datasets for my project. I need to preprocess all of those datasets but Pandas can only process five at one run? Here is my code for opening all files.
path = "./for_processing"
files = [file for file in os.listdir(path) if not file.startswith('.')]
index_cleaned_news = 0
for file in files:
NEWS_DATA = pd.read_csv(path+"/kompas/clean_news"+str(index_cleaned_news)+".csv")
#Process here
NEWS_DATA.to_csv(path+"/process_kompas/preprocess_news"+str(index_cleaned_news)+".csv")
index_cleaned_news = index_cleaned_news+1
Here is a screenshot when I try to run the code
Anybody know how to fix this or is it a rule from Pandas? Thank you
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