Python：如何将字典值与文件名匹配？

Question

I am relatively new to Python and struggling with the following:

I have a list of about 52,000 dictionaries containing metadata on PDFs (that are stored separately). Now, I want to match 5,000 of these PDFs to their corresponding metadata dictionaries, but I'm not sure how to do this.

Metadata:

[{'Title': 'This is the title', 'Author': 'John A.', 'Code': '8372', ...}, {'Title': 'This is another title', 'Author': 'Peter B.', 'Code': '5837_c', ...}, ...]

The PDF file names correspond to the 'Code' values (ie the file names are 5346, 8372, 3475_c, 0294, 5837_c, etc., always either three, four or five numbers or three, four or five numbers complemented by _c). Is there a way in which I can match the PDFs to the right dictionaries in the list of metadata dictionaries, using the file names of the PDFs to match?

Other solutions are also very welcome!

Edit: My aim is to create a Textacy Corpus, in which every entry is a Textacy Doc (ie the content of one PDF) and its corresponding Textacy Metadata (ie the PDFs metadata).

textacy_corpus = textacy.Corpus(u'en', texts=pdfs_list, metadatas=metadata_list)

From Textacy's documentation: "[Metadata] stream must align exactly with texts or docs , or else metadata will be mis-assigned. More concretely, the first item in metadatas will be assigned to the first item in texts or docs , and so on from there." This is why I want to match the PDFs to the right metadata.

Answer 1

dict((x['Code'],x) for x in <YOUR_LIST>)