Terms by Cluster Summary

>>> from techminer2.packages.networks.co_authorship.countries import TermsByClusterSummary
>>> (
...     TermsByClusterSummary()
...     #
...     # 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)
...     #
...     # COUNTERS:
...     .using_term_counters(True)
...     #
...     # 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()
... )
   Cluster  ...                                              Terms
0        0  ...  United States 16:3189; China 08:1085; South Ko...
1        1  ...  Germany 07:1814; Netherlands 03:0300; Denmark ...
2        2  ...  Australia 05:0783; United Kingdom 03:0636; Hon...
3        3  ...                                Switzerland 04:0660
4        4  ...                                     Latvia 02:0163
5        5  ...                                      Spain 01:0225
6        6  ...                                  Indonesia 01:0102
7        7  ...                                   Slovenia 01:0102
8        8  ...                          Brunei Darussalam 01:0090

[9 rows x 4 columns]