DataFrame Operations

The DataFrame Operations component provides powerful data manipulation capabilities for structured data, supporting various operations like filtering, aggregation, and transformation.

DataFrame Operations interface and configuration

Component Inputs

DataFrame: Input data structure
The DataFrame to perform operations on
Operation: Processing operation
The type of operation to perform on the DataFrame

Component Outputs

DataFrame: Processed result
The resulting DataFrame after applying the operation

Implementation Example

const dataFrameOps = {
  dataFrame: {
    columns: ["id", "name", "age", "salary"],
    data: [
      [1, "John", 30, 50000],
      [2, "Jane", 25, 60000],
      [3, "Bob", 35, 75000]
    ]
  },
  operation: {
    type: "groupBy",
    columns: ["age"],
    aggregations: [
      { column: "salary", function: "mean" }
    ]
  }
};

// Output:
// {
//   dataFrame: {
//     columns: ["age", "mean_salary"],
//     data: [
//       [25, 60000],
//       [30, 50000],
//       [35, 75000]
//     ]
//   }
// }

Additional Resources

Best Practices

Optimize operations for large datasets
Use appropriate data types for columns
Handle missing data appropriately
Chain operations efficiently

Documentation

DataFrame Operations

Component Inputs

Component Outputs

Implementation Example