Random Pandas

A Python package for generating random pandas DataFrame objects and other random functionalities, useful for machine learning benchmarking and testing.

Features

• Generate DataFrames with random numbers of rows and columns.
• Columns can be of various data types (integer, float, boolean, string, datetime).
• Numeric columns can follow different random distributions (uniform, normal) with underlying patterns.
• Introduce controlled randomness suitable for benchmarking machine learning algorithms.

Installation

pip install random-pandas

Usage

from random_pandas import generate_random_dataframe

# Generate a random DataFrame
df = generate_random_dataframe()
print(df.head())

# Generate a random DataFrame with specific number of rows
df_rows = generate_random_dataframe(n_rows=100)
print(df_rows.info())

# Generate a random DataFrame with specific number of columns
df_cols = generate_random_dataframe(n_cols=5)
print(df_cols.info())

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.