Here is an example of a Python program that reads multiple CSV files and combines them into one dataframe:

import pandas as pd
import os

# list to hold dataframes
df_list = []

# specify the directory where the CSV files are located
directory = 'path/to/csv/files'

# loop through all the files in the directory
for filename in os.listdir(directory):
    if filename.endswith('.csv'):
        filepath = os.path.join(directory, filename)
        # read the CSV file into a dataframe
        df = pd.read_csv(filepath)
        # add the dataframe to the list
        df_list.append(df)

# concatenate all the dataframes in the list
final_df = pd.concat(df_list)

# print the final dataframe
print(final_df)

This program first imports the pandas library and os library. Then, it creates an empty list called df_list which will hold all the dataframes that are read. It then specifies the directory where the CSV files are located.

The program then uses a for loop to go through all the files in the directory and it checks if the file ends with ‘.csv’ extension, If so, it reads the file into a dataframe and adds it to the list.

Finally, it concatenates all the dataframes in the list using the pd.concat() function and saves it in final_df. And print the final dataframe.