Terms by Cluster FrameΒΆ

Example

>>> from techminer2.packages.networks.co_occurrence.descriptors import TermsByClusterDataFrame
>>> from techminer2.thesaurus.descriptors import ApplyThesaurus, InitializeThesaurus

>>> # Restore the column values to initial values
>>> InitializeThesaurus(root_directory="examples/fintech/", quiet=True).run()
>>> ApplyThesaurus(root_directory="examples/fintech/", quiet=True).run()

>>> # Generate terms by cluster data frame
>>> df = (
...     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("examples/fintech/")
...     .where_database_is("main")
...     .where_record_years_range_is(None, None)
...     .where_record_citations_range_is(None, None)
...     .where_records_match(None)
...     #
...     .run()
... )

>>> # Display the resulting data frame
>>> print(df.to_string()) 
                                0                                        1
0                 FINTECH 38:6131                     TECHNOLOGIES 15:1633
1  THE_FINANCIAL_INDUSTRY 09:2006           FINANCIAL_TECHNOLOGIES 12:1615
2                   BANKS 08:1049                          FINANCE 10:1188
3                    DATA 07:1086                  THE_DEVELOPMENT 09:1293
4               CONSUMERS 07:0925                       INNOVATION 08:1816
5            PRACTITIONER 06:1194                       REGULATORS 08:0974
6              THE_IMPACT 06:0908  THE_FINANCIAL_SERVICES_INDUSTRY 06:1237
7    THE_FINANCIAL_SECTOR 05:1147               FINANCIAL_SERVICES 06:1116
8  INFORMATION_TECHNOLOGY 05:1101                         SERVICES 06:1089
9       FINTECH_COMPANIES 05:1072                            CHINA 06:0673