Read a csv file with its name changing daily

You can use the datetime module:

import pandas as pd
from datetime import datetime

fname = datetime.today().strftime('Name_%d%b%Y_data_by_company.csv')
df = pd.read_csv(fname)

This is a problem I had, eventually I had given up with file names as they were inconsistent and instead created a function for getting the latest file based off the latest modified time or creation time.

from pathlib import Path

def get_latest_file(src_path,extension,method='st_mtime'):
    """ 
    Takes in a raw path and extension to parse over
    returns a single file with the last modified date

    methods:
    st_mtime: It represents the time of most recent content modification. It is 
    expressed in seconds.
    st_ctime: It represents the time of most recent metadata change on Unix 
    and creation time on Windows. It is expressed in seconds.
    """

    extension = extension if extension[0] != '.' else extension[1:]

    files = (Path(src_path).glob(f'*.{extension}'))

    if method == 'st_mtime':
        file_dictionary = {file : file.stat().st_mtime for file in files}
    elif method == 'st_ctime':
        file_dictionary = {file : file.stat().st_ctime for file in files}
    else:
        raise Exception(f'{method} not valid for this function')

    max_file = max(file_dictionary, key=file_dictionary.get)


    return max_file

latest = get_latest_file('C:/Users/DataNovice',extension='csv',method='st_mtime')

print(latest)

out : WindowsPath('C:/Users/DataNovice/new_file_i_just_created.csv')


df = pd.read_csv(latest)