Skip to main content

GoodData Cloud to pandas

Project description

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.

Project details


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

gooddata_pandas-1.63.1.dev2.tar.gz (171.8 kB view details)

Uploaded Source

Built Distribution

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

gooddata_pandas-1.63.1.dev2-py3-none-any.whl (52.1 kB view details)

Uploaded Python 3

File details

Details for the file gooddata_pandas-1.63.1.dev2.tar.gz.

File metadata

  • Download URL: gooddata_pandas-1.63.1.dev2.tar.gz
  • Upload date:
  • Size: 171.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for gooddata_pandas-1.63.1.dev2.tar.gz
Algorithm Hash digest
SHA256 1480d7b22600d880a2f32addbb9c64ac8feb15e7f0c4e947e3213f7d2ac0c4a3
MD5 e0cda6bb5f375920d5214c9ea50564b0
BLAKE2b-256 b4199844621abd2dd5f49d203decd72a3ab70d5a46a92442bf5b464134d7b68f

See more details on using hashes here.

Provenance

The following attestation bundles were made for gooddata_pandas-1.63.1.dev2.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.

File details

Details for the file gooddata_pandas-1.63.1.dev2-py3-none-any.whl.

File metadata

File hashes

Hashes for gooddata_pandas-1.63.1.dev2-py3-none-any.whl
Algorithm Hash digest
SHA256 5ee1d8a017d616640ad7c77c18beed01b0c05f4720ea8a9554fd0ab2b0ada95e
MD5 84984eddeec34e105beb59cba13749b1
BLAKE2b-256 5b718bbd86f443b4f6134ef79409cefdc5ca676d0332a1a5766270c112a6b422

See more details on using hashes here.

Provenance

The following attestation bundles were made for gooddata_pandas-1.63.1.dev2-py3-none-any.whl:

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.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page