Terms by Cluster Frame

>>> from techminer2.packages.networks.co_authorship.countries import TermsByClusterDataFrame
>>> (
...     TermsByClusterDataFrame()
...     #
...     # FIELD:
...     .having_terms_in_top(20)
...     .having_terms_ordered_by("OCC")
...     .having_term_occurrences_between(None, None)
...     .having_term_citations_between(None, None)
...     .having_terms_in(None)
...     #
...     # NETWORK:
...     .using_clustering_algorithm_or_dict("louvain")
...     .using_association_index("association")
...     #
...     # 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()
... )
                       0  ...                          8
0  United States 16:3189  ...  Brunei Darussalam 01:0090
1          China 08:1085  ...
2    South Korea 06:1192  ...
3         Sweden 01:0160  ...
4     Kazakhstan 01:0121  ...
5        Belgium 01:0101  ...

[6 rows x 9 columns]