Here is an example code that uses the pandas library to combine multiple CSV files into a single file:
1. Import the required libraries.

import os
import pandas as pd

2. Define the directory containing the CSV files that you want to combine.
directory = "/path/to/csv/files"

3. Create an empty list to store the dataframes.
df_list = []

4. Loop through all the CSV files in the directory, read each file as a dataframe, and append it to the list.
for filename in os.listdir(directory):
    if filename.endswith(".csv"):
        filepath = os.path.join(directory, filename)
        df = pd.read_csv(filepath)

5. Concatenate all the dataframes in the list into a single dataframe using the pd.concat() function.
combined_df = pd.concat(df_list)

6. Export the combined dataframe to a new CSV file using the to_csv() function.
Specify the name of the new CSV file and set the index parameter to False to exclude the index column from the output.
combined_df.to_csv("combined.csv", index=False)

Run the code and check the directory for the newly created CSV file.