how to COMBINE CSV FILES using PYTHON (Step by Step)
In this video, I talk about how to compile multiple CSV files into one file. See the code below that you can just run right away and it should work.
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import pandas as pd
from pathlib import Path
Step 1: Get the directory where the script is located
script_dir = Path(__file__).parent
Step 2: List all CSV files in the directory using a for loop and if statement
csv_files = []
for f in script_dir.iterdir():
if f.suffix == '.csv':
csv_files.append(f)
Step 3: Initialize an empty list to hold dataframes
dataframes = []
Step 4: Loop through the list of CSV files and read each one into a dataframe
for file in csv_files:
df = pd.read_csv(file)
dataframes.append(df)
Step 5: Concatenate all dataframes into a single dataframe
combined_df = pd.concat(dataframes, ignore_index=True)
Step 6: Save the combined dataframe to a new CSV file
output_file = script_dir / 'combined_output.csv'
combined_df.to_csv(output_file, index=False)
Step 7: Print a confirmation message
print(f"Data from {len(csv_files)} files has been combined and saved to {output_file}")
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#python #programming #pythonforbeginners
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