如何通过创建掩码从文件夹中导入某些文件？

Question

I'm incredibly new to coding so please bear with me so basically I have a folder of 4,229 .fits files (legac_spec) and a dataframe (legac_cat) with 1989 rows, two of the columns being id number and mask value. Each .fits file has a file name of something along the lines of legac_M[mask value]_v3.6_spec1d _[id number].fits but I'm not sure how to get the specific files I need where each mask value and id number corresponds to a specific file.

I know I need to use a for loop but I'm not sure how I get it to do what i need it to do since I have to mask the mask value and id numbers separately

import numpy as np
import pandas as pd
from astropy.io import fits

legac_cat = pd.read_csv('legac_file')

M = legac_cat['mask']
ID = legac_cat.id

directory_name = 'C:/Users/kfdhfs/Downloads/legac_spec'
for mask_val in legac_cat['mask']:
     for files in directory_name:
          hdu = fits.open(files)

Answer 1

I've barely ever used Pandas. I haven't tested this solution, so sorry if it doesn't work "straight out of the box". It seems to me that all you have to do is iterate over your dataframe's rows (where each row has a "mask" and "id" that correspond to one file), and then construct a filename from each row's "mask" and "id" - then open the file:

legac_cat = pd.read_csv("legac_file")

for index, row in legac_cat.iterrows():

    file_name = "legac_M{}_v3.6_spec1d_{}.fits".format(row["mask"], row["id"])
    # open the file using file_name