Data FrameΒΆ
>>> from techminer2.database.metrics.terms_by_year import DataFrame
>>> (
... DataFrame()
... #
... # FIELD:
... .with_field("raw_author_keywords")
... .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)
... #
... # PARAMS:
... .with_cumulative_sum(False)
... #
... # 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()
... ).head(10)
year 2015 2016 2017 2018 2019
raw_author_keywords
FINTECH 31:5168 0 5 8 12 6
INNOVATION 07:0911 0 3 3 1 0
FINANCIAL_SERVICES 04:0667 0 1 0 3 0
FINANCIAL_INCLUSION 03:0590 0 1 2 0 0
FINANCIAL_TECHNOLOGY 03:0461 0 0 1 1 1
CROWDFUNDING 03:0335 0 0 1 1 1
MARKETPLACE_LENDING 03:0317 0 0 0 2 1
BUSINESS_MODELS 02:0759 0 0 0 2 0
CYBER_SECURITY 02:0342 0 0 0 2 0
CASE_STUDY 02:0340 0 0 1 0 1
>>> from techminer2.database.metrics.terms_by_year import DataFrame
>>> (
... DataFrame()
... #
... # FIELD:
... .with_field("raw_author_keywords")
... .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)
... #
... # PARAMS:
... .with_cumulative_sum(False)
... #
... # 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()
... ).head(10)
year 2015 2016 2017 2018 2019
raw_author_keywords
FINTECH 0 5 8 12 6
INNOVATION 0 3 3 1 0
FINANCIAL_SERVICES 0 1 0 3 0
FINANCIAL_INCLUSION 0 1 2 0 0
FINANCIAL_TECHNOLOGY 0 0 1 1 1
CROWDFUNDING 0 0 1 1 1
MARKETPLACE_LENDING 0 0 0 2 1
BUSINESS_MODELS 0 0 0 2 0
CYBER_SECURITY 0 0 0 2 0
CASE_STUDY 0 0 1 0 1
>>> from techminer2.database.metrics.terms_by_year import DataFrame
>>> (
... DataFrame()
... #
... #
... # FIELD:
... .with_field("raw_author_keywords")
... .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)
... #
... # PARAMS:
... .with_cumulative_sum(True)
... #
... # 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()
... ).head(10)
year 2015 2016 2017 2018 2019
raw_author_keywords
FINTECH 31:5168 0 5 13 25 31
INNOVATION 07:0911 0 3 6 7 7
FINANCIAL_SERVICES 04:0667 0 1 1 4 4
FINANCIAL_INCLUSION 03:0590 0 1 3 3 3
FINANCIAL_TECHNOLOGY 03:0461 0 0 1 2 3
CROWDFUNDING 03:0335 0 0 1 2 3
MARKETPLACE_LENDING 03:0317 0 0 0 2 3
BUSINESS_MODELS 02:0759 0 0 0 2 2
CYBER_SECURITY 02:0342 0 0 0 2 2
CASE_STUDY 02:0340 0 0 1 1 2