GoodData Pandas

This package contains a thin layer that utilizes gooddata-sdk and allows you to conveniently create pandas series and data frames from the computations done against semantic model in your GoodData.CN workspace.

See DOCUMENTATION for more details.

Requirements

GoodData.CN installation; either running on your cloud infrastructure or the free Community Edition running on your workstation
Python 3.10 or newer

Installation

Run the following command to install the gooddata-pandas package on your system:

pip install gooddata-pandas

Example

Create an indexed and a not-indexed series:

from gooddata_pandas import GoodPandas

# GoodData.CN host in the form of uri eg. "http://localhost:3000"
host = "http://localhost:3000"
# GoodData.CN user token
token = "some_user_token"
# initialize the adapter to work on top of GD.CN host and use the provided authentication token
gp = GoodPandas(host, token)

workspace_id = "demo"
series = gp.series(workspace_id)

# create indexed series
indexed_series = series.indexed(index_by="label/label_id", data_by="fact/measure_id")

# create non-indexed series containing just the values of measure sliced by elements of the label
non_indexed = series.not_indexed(data_by="fact/measure_id", granularity="label/label_id")

Bugs & Requests

Please use the GitHub issue tracker to submit bugs or request features.

Changelog

Consult Github releases for a released versions and list of changes.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gooddata_pandas-1.72.1.dev1.tar.gz (573.7 kB view details)

Uploaded Aug 10, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

gooddata_pandas-1.72.1.dev1-py3-none-any.whl (67.8 kB view details)

Uploaded Aug 10, 2026 Python 3

File details

Details for the file gooddata_pandas-1.72.1.dev1.tar.gz.

File metadata

Download URL: gooddata_pandas-1.72.1.dev1.tar.gz
Upload date: Aug 10, 2026
Size: 573.7 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for gooddata_pandas-1.72.1.dev1.tar.gz
Algorithm	Hash digest
SHA256	`c710a9f9e8b35bb363399342aa1225f7fd2d81bb9d137a62fc1582fb5140074a`
MD5	`76455b449aa8be84380e8e2b65d7765e`
BLAKE2b-256	`bd3016189e37f24977ac889f3a9dc952fe2124e8f232694b3712c2698e931498`

See more details on using hashes here.

Provenance

The following attestation bundles were made for gooddata_pandas-1.72.1.dev1.tar.gz:

Publisher: dev-release.yaml on gooddata/gooddata-python-sdk

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: gooddata_pandas-1.72.1.dev1.tar.gz
- Subject digest: c710a9f9e8b35bb363399342aa1225f7fd2d81bb9d137a62fc1582fb5140074a
- Sigstore transparency entry: 2402049472
- Sigstore integration time: Aug 10, 2026
Source repository:
- Permalink: gooddata/gooddata-python-sdk@8e97293109808621e069ce9cd273c6f00b33aa7d
- Branch / Tag: refs/heads/master
- Owner: https://github.com/gooddata
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: dev-release.yaml@8e97293109808621e069ce9cd273c6f00b33aa7d
- Trigger Event: workflow_dispatch