Terms by Cluster Frame

>>> from techminer2.packages.networks.co_occurrence.index_keywords 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  ...                             3
0                        FINANCE 10:1866  ...               SURVEYS 03:0484
1              FINANCIAL_SERVICE 05:1115  ...  FINANCIAL_INDUSTRIES 02:0323
2                       COMMERCE 03:0846  ...  SECURITY_AND_PRIVACY 02:0323
3        SUSTAINABLE_DEVELOPMENT 03:0227  ...
4                     BLOCKCHAIN 02:0736  ...
5  FINANCIAL_SERVICES_INDUSTRIES 02:0696  ...
6           DEVELOPING_COUNTRIES 02:0248  ...

[7 rows x 4 columns]