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Data Table To CSV

Converts a data table to a CSV file format.

Common Properties​

  • Name - The custom name of the node.
  • Color - The custom color of the node.
  • Delay Before (sec) - Waits in seconds before executing the node.
  • Delay After (sec) - Waits in seconds after executing node.
  • Continue On Error - Automation will continue regardless of any error. The default value is false.
info

If the ContinueOnError property is true, no error is caught when the project is executed, even if a Catch node is used.

Inputs​

  • Table - The input data table to be converted to CSV format.
  • CSV Path - The file path where the CSV file will be saved.

Options​

  • Overwrite If Exists - Specifies whether to overwrite an existing file at the specified path. Options are:
    • True
    • False

Output​

This node does not produce a direct output but saves the data to a CSV file.

How It Works​

The Data Table To CSV node converts a data table to a CSV file format. When executed, the node:

  1. Validates that the input table is not empty and is valid
  2. Checks if the table is a reference table and handles it appropriately
  3. Validates that the CSV file path is not empty
  4. Checks if a file already exists at the specified path and handles overwrite settings
  5. Converts the data table to a pandas DataFrame
  6. Saves the DataFrame as a CSV file at the specified path

Requirements​

  • A valid input data table
  • A valid file path for saving the CSV file
  • Proper file system permissions to write to the specified location

Error Handling​

The node will return specific errors in the following cases:

  • Empty or invalid input table
  • Empty CSV file path
  • File already exists at the specified path when Overwrite If Exists is set to False
  • Invalid table structure
  • Insufficient permissions to write to the file

Usage Notes​

  • The CSV file will be saved at the specified path
  • If Overwrite If Exists is set to False, the node will not overwrite existing files
  • The first row of the CSV file will contain the column headers from the data table
  • The node supports standard CSV format with comma separators