No project description provided
Project description
nested-pandas
An extension of pandas for efficient representation of nested associated datasets.
Nested-Pandas extends the pandas package with tooling and support for nested dataframes packed into values of top-level dataframe columns. Pyarrow is used internally to aid in scalability and performance.
Nested-Pandas is motivated by time-domain astronomy use cases, where we see
typically two levels of information, information about astronomical objects and
then an associated set of N measurements of those objects. Nested-Pandas offers
a performant and memory-efficient package for working with these types of datasets.
Core advantages being:
- hierarchical column access
- efficient packing of nested information into inputs to custom user functions
- avoiding costly groupby operations
This is a LINCC Frameworks project - find more information about LINCC Frameworks here.
Acknowledgements
This project is supported by Schmidt Sciences.
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 nested_pandas-0.1.2.tar.gz.
File metadata
- Download URL: nested_pandas-0.1.2.tar.gz
- Upload date:
- Size: 149.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e50af8cecc3e45454ae4312ed0646f85818751da759b5d7545a7924c2f86e81a |
|
| MD5 | 51825db69ae4400461531162c5d7247a |
|
| BLAKE2b-256 | 2601c89e86934c8059230a64367811a70a0caf5aed0c2c5c2e98215abde91c3d |
File details
Details for the file nested_pandas-0.1.2-py3-none-any.whl.
File metadata
- Download URL: nested_pandas-0.1.2-py3-none-any.whl
- Upload date:
- Size: 32.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 410d985c34ff563eb9e81716d3264a2c4283f4b5e99c3a4e6c6a40272b362f83 |
|
| MD5 | 05d99bc8a4ba0566f9629a45c43450b6 |
|
| BLAKE2b-256 | c5b29f99b1a2f970bed98f42eeb3b4faf8587125319b59f525c269e80b098caf |
