Skip to main content

PD-EXPLAIN

PD-EXPLAIN is a Python library that wraps Pandas, allowing users to obtain multiple type of query explanations over Pandas DataFrames. PD-EXPLAIN is under active development, currently featuring interestingness based explanations, those are deviation-based explanations (for filter, join, and set operations) and explanations for high-variance group-by-and-aggregate operations. Both explainers utilizes the FEDEX system.

The system also supports aggregate outlier explanations, based on the SCORPION systems , and will soon fully support Boolean-query explanations based on this paper.

PD-EXPLAIN was demonstrated at VLDB '24.

Installation

Install pd-explain with pip or by git ssh

  pip install pd-explain
  
  pip install git+ssh://git@github.com/analysis-bots/pd-explain.git

For cloning this project use

git clone git@github.com:analysis-bots/pd-explain.git

cd pd_explain

pip install -r requirements.txt

Demo

Demo Spotify example

Demo Spotify example notebook - click to view

Documentation

Documentation

Citation Information

TBD

Authors

Release files for pd-explain 1.1.2

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

Source distribution (sdist)

Source distribution for pd-explain 1.1.2
File Size Uploaded
pd_explain-1.1.2.tar.gz 128.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pd-explain 1.1.2
File Interpreter ABI Platform
pd_explain-1.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 261.7 kB

Release files / pd_explain-1.1.2.tar.gz

Download URL pd_explain-1.1.2.tar.gz
Size 128.1 kB
Tags Source
SHA-256 checksum
How to use checksums
b1ff58bb4c1619f57e16f2761bd20c55cedc375c1cb85aaf95f14e4ede0ae311
BLAKE2b-256 checksum
How to use checksums
c85551f51afa2b168f7625198cdd29439164b9dbe8e94cc49c01abdec00d0b62
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 19, 2025.

Transparency log

Release files / pd_explain-1.1.2-py3-none-any.whl

Download URL pd_explain-1.1.2-py3-none-any.whl
Size 133.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
66b5a048c8e55b796f6e463cd2dc56759138bd0b2e32d05fac4a9567d357c30e
BLAKE2b-256 checksum
How to use checksums
ae3199cbb92494f87d51efc4c5491ecaa8e529638847dfcf62003b61530aa8f5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 19, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

1.1.2 This release

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.2

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.0.11

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page