A Python script to split large CSV files into smaller files with a specified number of rows. This tool is useful for managing large datasets and breaking them into more manageable pieces.

• Handles filenames with or without .csv extension: Automatically appends .csv if missing.
• Customizable row limit: Specify the number of rows per split file.
• Header inclusion: Ensures headers are included in all split files.
• Dynamic output naming: Output files are named with the original row number range they contain, making it easy to track the data.

1. Clone the repository:

   git clone https://github.com/sd416/csv-splitter.git
   cd csv-splitter

2. Run the script:

   python split_csv.py -f my_data.csv -n 100 -d /path/to/output

3. arguments:

• -f FILENAME, --filename FILENAME

  • Name of the input CSV file. The .csv extension is optional.

• -n NUM_ROWS, --num_rows NUM_ROWS

  • Number of rows to include in each split file.

• -d DESTINATION, --destination DESTINATION

  • Directory path where the split files will be saved. Defaults to the current directory.

    python split_csv.py -f my_data.csv -n 100 -d /path/to/output

The output files will be named:

my_data_1-100.csv
my_data_201-300.csv
.
.
.
.
my_data_501-1000.csv

...