pybroom 0.2
pip install pybroom
Released:
Make tidy DataFrames from messy fit/model results.
Navigation
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Antonino Ingargiola
- Tags dataframe, tidy-data, long-form, model, fitting, tidyverse
Classifiers
- Intended Audience
- License
- Operating System
- Programming Language
- Topic
Project description
Pybroom is a small python 3+ library for converting collections of fit results (curve fitting or other optimizations) to Pandas DataFrame in tidy format (or long-form) (Wickham 2014). Once fit results are in tidy DataFrames, it is possible to leverage common patterns for tidy data analysis. Furthermore powerful visual explorations using multi-facet plots becomes easy thanks to libraries like seaborn natively supporting tidy DataFrames.
See the pybroom homepage for more info.
Project details
Unverified details
These details have not been verified by PyPIProject links
Meta
- License: MIT License (MIT)
- Author: Antonino Ingargiola
- Tags dataframe, tidy-data, long-form, model, fitting, tidyverse
Classifiers
- Intended Audience
- License
- Operating System
- Programming Language
- Topic
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
File details
Details for the file pybroom-0.2.tar.gz
.
File metadata
- Download URL: pybroom-0.2.tar.gz
- Upload date:
- Size: 9.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c500af430a0c39d5fdf576e60f0a0a1f61028f144a3ba43dba26a15bdac4c395 |
|
MD5 | 0fb52de2eee16ae7c74cf0eaf13c0dab |
|
BLAKE2b-256 | 59e269bf314fb580f81884eeb8b3b7ee78bfb025630237f4fbdd6f7ad8cf278b |
File details
Details for the file pybroom-0.2-py3-none-any.whl
.
File metadata
- Download URL: pybroom-0.2-py3-none-any.whl
- Upload date:
- Size: 9.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 406c33f585c9d80f307d4bc5d2f1679f6be829f7302b5ecf38141fb9d8686599 |
|
MD5 | 1a30fe6e3a31c568cc8cc6a30677c474 |
|
BLAKE2b-256 | cfb53eafab4e85cddd1a1cc99fce24e794ffefe360acef75b68dda3a20af8827 |