Pandance

Pandance provides advanced relational operations for pandas DataFrames, enabling powerful and efficient joins (aka merges).

Highlights

Pandance extends the set of standard join operations in pandas (inner, outer, cross, left, right) with:

fuzzy joins: Match columns with a tolerance. Supports numerical and datetime values.
inequality join: Match one column's values that are less / greater than the other column's values.
theta joins: Allows the user to specify arbitrary matching conditions on which to join

Pandance is designed with performance in mind, aiming to provide fast implementations whenever possible.

pip install pandance

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for pandance 0.3.0
File	Size	Uploaded
pandance-0.3.0.tar.gz	18.4 kB	May 23, 2023	Details

Table of built distributions (wheels) for pandance 0.3.0
File	Interpreter	ABI	Platform	Reset
pandance-0.3.0-py3-none-any.whl 13.9 kB May 23, 2023	Python 3	none	any	Details

Total release size: 32.3 kB

Download URL	pandance-0.3.0.tar.gz
Size	18.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`9b16422416f189f48b5243c31fcea84f02639f1b5d8486099ad66dcc632a3e0a`
BLAKE2b-256 checksum How to use checksums	`3c3e1d710897c8e8e7ee1becdf9cb41ec235e5c222983db138a799117ecd85fc`
Upload date	May 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.13`

Download URL	pandance-0.3.0-py3-none-any.whl
Size	13.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9212774bf41006daf2cc71731ef74e310336eb2e89a99376684009823ed5ccd9`
BLAKE2b-256 checksum How to use checksums	`6fb97db60a7a5206b2ad0115965416dada703b917caa3be92057b83569e70b20`
Upload date	May 23, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.8.13`