On my computer, I have a folder full of .txt files, and in each .txt file, the names of a variety of .swg files that are in another folder (but are in the same virtual environment) are listed. How do I use Python to import the information from my .txt file in a way that pulls the .swg data from this other folder into my program? For example: My .txt file named upstream_plp_79.txt has information that looks like this in it: 720575940631763909,720575940607887561,720575940618819668,720575940613105381, ... . Each .swg in my computer is named as 720575940631763909.swg, 720575940607887561.swg, 720575940618819668.swg, 720575940613105381.swg, .... I am looking to use the information listed in my .txt file in such a way that tells my computer to import each comma-separated value as a .swg files listed into my program so I can analyze this data. I'm running Windows 11 on an ARM chip, and using Python 3.12.9. Thank you so much! Edit: I have no baseline to work off of regarding code I've written for this because I don't even know where to begin. Out of pure desperation I resorted to asking ChatGPT what to do and this is what I was given: plp_79_upstream = pd.read_csv(r"C:\Users\jjess\Documents\MEGA\Bellemer_Lab\Pain_Connectome_new\Allatostatin_c_PLP.79\root_ids_upstream_plp_79_720575940628731140.txt", sep = ',') with open(r"C:\Users\jjess\Documents\Bellemer_Lab\Pain_Connectome_new\Allatostatin_c_PLP.79\root_ids_upstream_plp_79_720575940628731140.txt", 'r') as file: file_names = [name.strip() for name in file_names] df_list = [] for file_name in file_names: df = plp_79_upstream df_list.append(df) final_df = pd.concat(df_list, ignore_index = True) print(final_df) Here's the error I got: NameError: name 'file_names' is not defined (obviously) Thanks in advance. Continue reading...
