klib 0.0.6

Frequently used data preprocessing functions

klib

klib is a Python library for importing, cleaning, analyzing and preprocessing data. Future versions will include model creation and optimization to provide an end-to-end solution.

Installation

Use the package manager pip to install klib.

pip install klib
pip install --upgrade klib

Usage

import klib

klib.describe # tools for visualizing datasets
- klib.corr_plot() # returns a color-encoded heatmap, ideal for correlations
- klib.missingval_plot() # returns a figure containing information about missing values

klib.clean # tools for cleaning datasets
- klib.convert_datatypes() # converts existing to more efficient dtypes
- klib.drop_missing() # drops missing values
- klib.data_cleaning() # perform initial datacleaning on a dataset


## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

## License

[MIT](https://choosealicense.com/licenses/mit/)