Node Degree Plot

>>> from techminer2.co_occurrence_network import node_degree_plot
>>> plot = node_degree_plot(
...     #
...     # PARAMS:
...     field='author_keywords',
...     #
...     # COLUMN PARAMS:
...     top_n=20,
...     occ_range=(None, None),
...     gc_range=(None, None),
...     custom_terms=None,
...     #
...     # NETWORK PARAMS:
...     association_index="association",
...     #
...     # DEGREE PLOT:
...     textfont_size=10,
...     marker_size=7,
...     line_color="black",
...     line_width=1.5,
...     yshift=4,
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... )
>>> plot.fig_.write_html("sphinx/_static/co_occurrence_network/node_degree_plot.html")

>>> plot.df_.head()
   Node                        Name  Degree
0     0             FINTECH 31:5168      18
1     1  FINANCIAL_SERVICES 04:0667       7
2     2          INNOVATION 07:0911       6
3     3          TECHNOLOGY 02:0310       5
4     4             FINANCE 02:0309       5

>>> print(plot.prompt_) 
Your task is ...