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-1.64.1.dev2.tar.gz (570.9 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-1.64.1.dev2-py3-none-any.whl (66.1 kB view details)

Uploaded Python 3

File details

Details for the file gooddata_pandas-1.64.1.dev2.tar.gz.

File metadata

  • Download URL: gooddata_pandas-1.64.1.dev2.tar.gz
  • Upload date:
  • Size: 570.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for gooddata_pandas-1.64.1.dev2.tar.gz
Algorithm Hash digest
SHA256 b107bfb4c9a380cf3fb351d0e18b17484fe6ac59f5155acd408574871bab8d33
MD5 dbf362032e8caff9c5fe4182bb4fdc77
BLAKE2b-256 13e5758bcb29cc7a25cf746d73e1ecb215209092d867e51d5412383e97fc1a96

See more details on using hashes here.

Provenance

The following attestation bundles were made for gooddata_pandas-1.64.1.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-1.64.1.dev2-py3-none-any.whl.

File metadata

File hashes

Hashes for gooddata_pandas-1.64.1.dev2-py3-none-any.whl
Algorithm Hash digest
SHA256 731c2befa3e2f9fc61d525fb6f76a307dd8f9f15d7c77bf1dc15548d1d248bb8
MD5 3bb45763b9868d7c8580e12b97671cc9
BLAKE2b-256 f87d64aa83da8d715b709813e0d9a270df904feef488ed542242433cb57f8fdf

See more details on using hashes here.

Provenance

The following attestation bundles were made for gooddata_pandas-1.64.1.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