Dataframe

Example

>>> from techminer2.metrics.lotka_law import DataFrame

>>> generator = (
...     DataFrame()
...     #
...     # DATABASE:
...     .where_root_directory("examples/fintech/")
...     .where_database("main")
...     .where_record_years_range(None, None)
...     .where_record_citations_range(None, None)
...     .where_records_match(None)
... )
>>> df = generator.run()
>>> df
   Documents Written  ...  Prop Theoretical Authors
0                  1  ...                     0.735
1                  2  ...                     0.184
2                  3  ...                     0.082

[3 rows x 5 columns]