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
Documentation
Citation Information
TBD
Authors
Metadata
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)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pd_explain-1.1.2.tar.gz | 128.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 logRelease 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 logSecurity for pd-explain 1.1.2
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for pd_explain-1.1.2.tar.gz
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 logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.