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.
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GoodData.CN installation; either running on your cloud infrastructure or the free Community Edition running on your workstation
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Python 3.9 or newer
Run the following command to install the gooddata-pandas package on your system:
pip install gooddata-pandas
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")Please use the GitHub issue tracker to submit bugs or request features.
Consult Github releases for a released versions and list of changes.