Terms by Cluster Frame

>>> #
>>> # TEST PREPARATION
>>> #
>>> from techminer2.thesaurus.descriptors import ApplyThesaurus, CreateThesaurus
>>> CreateThesaurus(root_directory="example/", quiet=True).run()
>>> ApplyThesaurus(root_directory="example/", quiet=True).run()

>>> #
>>> # CODE TESTED
>>> #
>>> from techminer2.packages.networks.co_occurrence.author_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")
...     #
...     # COUNTERS:
...     .using_term_counters(True)
...     #
...     # 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                 FINTECH 31:5168  ...  ARTIFICIAL_INTELLIGENCE 02:0327
1          BUSINESS_MODEL 03:0896  ...                  FINANCE 02:0309
2     FINANCIAL_INCLUSION 03:0590  ...                   ROBOTS 02:0289
3  FINANCIAL_TECHNOLOGIES 03:0461  ...
4              BLOCKCHAIN 03:0369  ...
5            CROWDFUNDING 03:0335  ...
6          CYBER_SECURITY 02:0342  ...
7            CASE_STUDIES 02:0340  ...
8                 REGTECH 02:0266  ...

[9 rows x 4 columns]

>>> #
>>> # CODE TESTED
>>> #
>>> from techminer2.packages.networks.co_occurrence.author_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")
...     #
...     # COUNTERS:
...     .using_term_counters(False)
...     #
...     # 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                 FINTECH  ...  ARTIFICIAL_INTELLIGENCE
1          BUSINESS_MODEL  ...                  FINANCE
2     FINANCIAL_INCLUSION  ...                   ROBOTS
3  FINANCIAL_TECHNOLOGIES  ...
4              BLOCKCHAIN  ...
5            CROWDFUNDING  ...
6          CYBER_SECURITY  ...
7            CASE_STUDIES  ...
8                 REGTECH  ...

[9 rows x 4 columns]