Co-occurrence DataFrame

Example

>>> from techminer2.packages.co_occurrence_matrix import DataFrame
>>> df = (
...     DataFrame()
...     #
...     # COLUMNS:
...     .with_field("author_keywords_raw")
...     .having_terms_in_top(10)
...     .having_terms_ordered_by("OCC")
...     .having_term_occurrences_between(2, None)
...     .having_term_citations_between(None, None)
...     .having_terms_in(None)
...     #
...     # ROWS:
...     .with_other_field("authors")
...     .having_other_terms_in_top(None)
...     .having_other_terms_ordered_by("OCC")
...     .having_other_term_occurrences_between(2, None)
...     .having_other_term_citations_between(None, None)
...     .having_other_terms_in(None)
...     #
...     # COUNTERS:
...     .using_term_counters(True)
...     #
...     # DATABASE:
...     .where_root_directory("examples/fintech/")
...     .where_database("main")
...     .where_record_years_range(None, None)
...     .where_record_citations_range(None, None)
...     .where_records_match(None)
...     #
...     .run()
... )
>>> df.head(10) 
                 rows                      columns  OCC
0  Jagtiani J. 3:0317              FINTECH 31:5168    3
1  Jagtiani J. 3:0317  MARKETPLACE_LENDING 03:0317    3
2    Dolata M. 2:0181              FINTECH 31:5168    2
3    Dolata M. 2:0181           INNOVATION 07:0911    2
4       Gai K. 2:0323              FINTECH 31:5168    2
5    Hornuf L. 2:0358              FINTECH 31:5168    2
6   Lemieux C. 2:0253              FINTECH 31:5168    2
7   Lemieux C. 2:0253  MARKETPLACE_LENDING 03:0317    2
8       Qiu M. 2:0323              FINTECH 31:5168    2
9   Schwabe G. 2:0181              FINTECH 31:5168    2

>>> from techminer2.packages.co_occurrence_matrix import DataFrame
>>> df = (
...     DataFrame()
...     #
...     # COLUMNS:
...     .with_field("author_keywords")
...     .having_terms_in_top(10)
...     .having_terms_ordered_by("OCC")
...     .having_term_occurrences_between(2, None)
...     .having_term_citations_between(None, None)
...     .having_terms_in(None)
...     #
...     # ROWS:
...     .with_other_field(None)
...     .having_other_terms_in_top(None)
...     .having_other_terms_ordered_by(None)
...     .having_other_term_occurrences_between(None, None)
...     .having_other_term_citations_between(None, None)
...     .having_other_terms_in(None)
...     #
...     # COUNTERS:
...     .using_term_counters(True)
...     #
...     # DATABASE:
...     .where_root_directory("examples/fintech/")
...     .where_database("main")
...     .where_record_years_range(None, None)
...     .where_record_citations_range(None, None)
...     .where_records_match(None)
...     #
...     .run()
... )
>>> df.head(10) 
                             rows                         columns  OCC
0                 FINTECH 31:5168                 FINTECH 31:5168   31
1              INNOVATION 07:0911              INNOVATION 07:0911    7
2                 FINTECH 31:5168              INNOVATION 07:0911    5
3              INNOVATION 07:0911                 FINTECH 31:5168    5
4      FINANCIAL_SERVICES 04:0667      FINANCIAL_SERVICES 04:0667    4
5            CROWDFUNDING 03:0335            CROWDFUNDING 03:0335    3
6     FINANCIAL_INCLUSION 03:0590     FINANCIAL_INCLUSION 03:0590    3
7     FINANCIAL_INCLUSION 03:0590                 FINTECH 31:5168    3
8      FINANCIAL_SERVICES 04:0667                 FINTECH 31:5168    3
9  FINANCIAL_TECHNOLOGIES 03:0461  FINANCIAL_TECHNOLOGIES 03:0461    3