Frequently used data preprocessing functions
Reason this release was yanked:
Please install the latest version.
Project description
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/)
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