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  1. Install Python: If you haven't already, download and install the latest version of Python from the official website: https://www.python.org/downloads/

  2. Install pandas: Open a terminal (Command Prompt on Windows or Terminal on macOS/Linux) and run the following command to install the pandas library, which the script depends on:

    Code Block
    pip install pandas

  3. Save the script: Copy the provided Python script and save it as a .py file, for example, ConvertArray2MultipleRows.py

  4. Prepare the input CSV file: Make sure your input CSV file is formatted correctly, with array values enclosed in double quotes. For example:

    Code Block
    name,age,colors
JohnAkash,25,"[red,blue,green]"
SarahLaskshmi,30,"[yellow,purple]"

    Save the CSV file, for example, as input.csv.

  5. Run the script: In the terminal, navigate to the folder where you saved the ConvertArray2MultipleRows.py script using the cd command. For example:

    Code Block
    cd path/to/your/script/folder

    Replace path/to/your/script/folder with the actual path to the folder containing the script.

  6. Execute the script by running the following command in the terminal:

    Code Block
    python ConvertArray2MultipleRows.py

  7. Provide the input and output file paths: The script will prompt you to enter the input CSV file path and the output CSV file path. Enter the paths and press Enter. For example:

    Code Block
    Please enter input CSV file name(along with path): input.csv

    Replace input.csv with the actual file paths if they are located in different folders.

  8. Then the program starts conversion and displays the number of arrays converted as

    Code Block
    Total number of Arrays found and Converted =  49841

  9. Finally enter the Output file name where it has to be stored when prompted

    Code Block
    Please enter the output CSV file name: Output.csv

  10. Check the output: The script will process the input CSV file and create a new output CSV file with the specified file path. Open the output CSV file to verify the result.

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