python: how to do an if/else to read in a csv that can be empty

i want to create a try/except or an if/else statement to create dataframes based on an input csv. but it is possible for the input csv to be blank/empty so if i do a blanket pd.read_csv(file_name)
it will throw an error when the csv is empty.

how can i do this so that:

if pd.read_csv(file_name) is successful:
   new_df = pd.read_csv(file_name)
else:
   new_df = pd.DataFrame() # to set this as an empty data frame

i previously tried:

try:
    new_df = pd.read_csv(file_name)
except:
    new_df = pd.DataFrame() # to set this as an empty data frame

this did not work because it always set new_df to an empty df even if the csv was not empty

thanks in advance!!!

>Solution :

Trying to read an empty CSV with pandas.read_csv raises a pandas.errors.EmptyDataError exception, so you can catch that specifically

import pandas as pd


try:
    df = pd.read_csv('my_file.csv')
except pd.errors.EmptyDataError:
    df = pd.DataFrame()