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.

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