Terms by Cluster Frame

>>> from techminer2.packages.networks.citation.countries import TermsByClusterDataFrame
>>> (
...     TermsByClusterDataFrame()
...     #
...     # UNIT OF ANALYSIS:
...     .having_terms_in_top(30)
...     .having_citation_threshold(0)
...     .having_occurrence_threshold(2)
...     .having_terms_in(None)
...     #
...     # CLUSTERING:
...     .using_clustering_algorithm_or_dict("louvain")
...     #
...     # DATABASE:
...     .where_root_directory_is("example/")
...     .where_database_is("main")
...     .where_record_years_range_is(None, None)
...     .where_record_citations_range_is(None, None)
...     .where_records_match(None)
...     #
...     .run()
... ).head()
                     0  ...                          3
0        China 08:1085  ...            Germany 07:1814
1  South Korea 06:1192  ...  Brunei Darussalam 01:0090
2  Switzerland 04:0660  ...
3      Denmark 02:0330  ...
4       France 01:0258  ...

[5 rows x 4 columns]