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 3.8 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
Built Distribution
Hashes for gooddata_pandas-1.17.1.dev1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 011ca3bfab9e38541dda781fa293db115300670d2d2bb3ba5b1118c768cb88ce |
|
MD5 | c63b8e69be860eab1af094eb84c6c3e4 |
|
BLAKE2b-256 | 90ab3327d238120b372b4e4cc2a9032942175fc0275c13be76e63c012f100152 |
Hashes for gooddata_pandas-1.17.1.dev1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cc7894b2882d18535a6507a83cef8ec14ff760adcd5b1252cb3450b0b138f44b |
|
MD5 | 2f294292f11b2a98dec04800abcf45d3 |
|
BLAKE2b-256 | c857e24db141649032316080289c08fef67ffa0c37fee9b85d544635558e4dba |