Metadata-Version: 2.4
Name: pydatacube
Version: 0.1.8
Summary: Querying data cubes with Python using MDX inspired declarative syntax
Author-email: Sigmundur Vang <siva@cs.aau.dk>
License-Expression: Unlicense
Project-URL: Homepage, https://gitlab.com/sigmundur_phd/pycube
Project-URL: Source, https://gitlab.com/sigmundur_phd/pycube.git
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: psycopg2
Requires-Dist: pandas
Requires-Dist: levenshtein
Requires-Dist: rdflib
Requires-Dist: sqlalchemy
Dynamic: license-file

# pyDataCube
## Running the experiments
Version 0.1.17 was used for the experiments.
The timer object that measured the time spent in the database was injected into pandas' `read_sql` method (and its auxiliary methods) in `io/sql.py`.
The modified `sql.py` file is included in the base of the gitlab repository as `pandas_sql.py`.
This modified `sql.py` was, together with pyDataCube 0.1.17, used for obtaining the results found in the experiments section in the journal paper.
