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() # ...
klib.corr_plot() # returns a color-encoded heatmap, ideal for correlations
klib.missingval_plot() # returns a figure containing information about missing values
# Coming soon:
# klib.ingest() # ...
# klib.clean() # ...
# klib.preprocess() # ...
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file klib-0.0.56.tar.gz.
File metadata
- Download URL: klib-0.0.56.tar.gz
- Upload date:
- Size: 5.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
61d6ef929d45eb0369ea2af5d82851082975b235858eeca2b2c8b6b02c913f0e
|
|
| MD5 |
4a4c92eac86c687b1ef7ce48400f73fd
|
|
| BLAKE2b-256 |
aedb4c1809ecba154769901499b40a6080388a27222bb1ab8d02eb728384d0df
|
File details
Details for the file klib-0.0.56-py3-none-any.whl.
File metadata
- Download URL: klib-0.0.56-py3-none-any.whl
- Upload date:
- Size: 7.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
79ef39ced42177e6b887b4e825d494e101f6012a40155e05fad52f989a7c2026
|
|
| MD5 |
e74bd27e715d94c4fd221bd4121bb375
|
|
| BLAKE2b-256 |
053cd4d72d93a9d3c26b30a2e69f89a0ea6a2f852ac2e2b88be50d87473f2304
|
