Terms by Cluster Frame

>>> from techminer2.packages.networks.coupling.countries import TermsByClusterDataFrame
>>> (
...     TermsByClusterDataFrame()
...     #
...     # UNIT OF ANALYSIS:
...     .having_terms_in_top(20)
...     .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                    1
0  United States 16:3189        China 08:1085
1        Germany 07:1814  Netherlands 03:0300
2    South Korea 06:1192      Denmark 02:0330
3      Australia 05:0783        Spain 01:0225
4    Switzerland 04:0660    Indonesia 01:0102