Dataframe

# >>> from techminer2.visualize.specialized_plots.trending_words_per_year import dataframe # >>> dataframe( # … # # … # PARAMS: # … field=”author_keywords”, # … n_words_per_year=5, # … custom_terms=None, # … # # … # DATABASE PARAMS: # … root_dir=”example/”, # … database=”main”, # … year_filter=None, # … cited_by_filter=None, # … ).head() # year OCC year_q1 year_med … rn height width # author_keywords … # CONTENT_ANALYSIS 2 2016 2016 … 2 0.177333 1 # DIGITALIZATION 2 2016 2016 … 3 0.177333 1 # POPULAR_PRESS 2 2016 2016 … 4 0.177333 1 # TECHNOLOGY 2 2016 2016 … 0 0.177333 2 # BANKING 2 2016 2016 … 1 0.177333 2 # <BLANKLINE> # [5 rows x 8 columns]

# >>> from techminer2.visualize.specialized_plots.trending_words_per_year import dataframe # >>> dataframe( # … # # … # PARAMS: # … field=”author_keywords”, # … n_words_per_year=5, # … custom_terms=[ # … “FINTECH”, # … “BLOCKCHAIN”, # … “ARTIFICIAL_INTELLIGENCE”, # … ], # … # # … # DATABASE PARAMS: # … root_dir=”example/”, # … database=”main”, # … year_filter=None, # … cited_by_filter=None, # … ) # year OCC year_q1 year_med … rn height width # author_keywords … # FINTECH 31 2017 2018 … 0 0.97 2 # BLOCKCHAIN 2 2018 2018 … 1 0.15 2 # ARTIFICIAL_INTELLIGENCE 2 2019 2019 … 0 0.15 1 # <BLANKLINE> # [3 rows x 8 columns]