Terms by Cluster Frame

>>> from techminer2.packages.networks.co_authorship.organizations 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  ...                            9
0       Goethe Univ Frankfurt (DEU) 2:1065  ...  Univ of Latvia (LVA) 2:0163
1     Pennsylvania State Univ (USA) 1:0576  ...
2  Singapore Manag Univ (SMU) (SGP) 1:0576  ...
3            Univ of Delaware (USA) 1:0576  ...

[4 rows x 10 columns]