OrdinalEncoder

A custom implementation of an OrdinalEncoder class for encoding categorical data into ordinal integers using a pandas DataFrame. The class maps each unique category to an integer based on the order of appearance.

Features

• fit: Learn the mapping of categories to ordinal integers for each column.
• transform: Transform the categorical data to ordinal integers based on the learned mapping.
• fit_transform: Fit the encoder and transform the data in one step.

Methods

1. __init__(self)
   • Initializes the OrdinalEncoding class.
   • No parameters are required.
2. fit(self, data)
   • Learns the mapping of categories to ordinal integers for each column.
   • Parameters:
     • data (pandas.DataFrame): The data to fit.
   • Raises:
     • TypeError: If the input data is not a pandas DataFrame.
3. transform(self, data)
   • Transforms the categorical data to ordinal integers based on the learned mapping.
   • Parameters:
     • data (pandas.DataFrame): The data to transform.
   • Returns:
     • pandas.DataFrame: The transformed data.
   • Raises:
     • Error: If transform is called before fit or fit_transform.
4. fit_transform(self, data)
   • Fits the encoder to the data and transforms the data in one step.
   • Parameters:
     • data (pandas.DataFrame): The data to fit and transform.
   • Returns:
     • pandas.DataFrame: The transformed data.

Error Handling

• Raises a TypeError if the input data is not a pandas DataFrame in the fit method.
• Raises an error if transform is called before fit or fit_transform.

Use Case

Output

Installation

No special installation is required. Just ensure you have pandas installed in your Python environment.