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 3.9 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-1.30.0.tar.gz (46.5 kB view details)

Uploaded Source

Built Distribution

gooddata_pandas-1.30.0-py3-none-any.whl (48.7 kB view details)

Uploaded Python 3

File details

Details for the file gooddata_pandas-1.30.0.tar.gz.

File metadata

  • Download URL: gooddata_pandas-1.30.0.tar.gz
  • Upload date:
  • Size: 46.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for gooddata_pandas-1.30.0.tar.gz
Algorithm Hash digest
SHA256 8eb308ffd61522c096b30c5412e7a50bdc971c58632b06d2a874540a9346a638
MD5 269999a73dc7b58cc3b92d95f2e4ca04
BLAKE2b-256 cb9dfd9f3869171ea4a6cca041f04fe8cc40d2454d87810f2f4a252a0cc62dab

See more details on using hashes here.

File details

Details for the file gooddata_pandas-1.30.0-py3-none-any.whl.

File metadata

File hashes

Hashes for gooddata_pandas-1.30.0-py3-none-any.whl
Algorithm Hash digest
SHA256 62f32c01b488720090d0a79a1e0db7257ff657a92b10d983a8fdb7358129ab0f
MD5 d89d2a6159243925c4d87becdadeaf1c
BLAKE2b-256 3775693a7abfd3f6539430ce37e9c48bfb29669dafdf87a72bc2f9846167701b

See more details on using hashes here.

Supported by

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