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Python Code Guide

You can use the Python Code Node in D.Hub pipelines to transform data or perform analysis logic.

Basic Structure​

The Python code node operates based on Polars DataFrame.

Input​

  • Data from connected previous nodes is passed as a Polars DataFrame.
  • The input variable name follows the Input Alias set by the user.

Options​

  • You can receive runtime variables through the options dictionary defined in the pipeline settings.

Output​

  • You must return a dictionary with a key named output.
  • The value of output must be a Polars DataFrame.

Example Code​

import polars as pl

def transform(inputs, options):
    # 1. Get input data (when the input alias is 'input_df')
    df = inputs['input_df']
    
    # 2. Data transformation logic (e.g., multiply 'count' column by 2)
    result_df = df.with_columns(
        (pl.col("count") * 2).alias("doubled_count")
    )
    
    # 3. Return result
    return {
        "output": result_df
    }

Available Packages​

The following packages are included in the environment by default. Additional packages can be specified in the node settings.

  • polars
  • pandas
  • numpy