Cross-correlation Map

Creates an Cross-correlation Map.

>>> # grey colors: https://www.w3schools.com/colors/colors_shades.asp
>>> from techminer2.correlation_matrix import cross_correlation_map
>>> plot = cross_correlation_map(
...     #
...     # FUNCTION PARAMS:
...     rows_and_columns='authors',
...     cross_with='countries',
...     method="pearson",
...     #
...     # LAYOUT:
...     nx_k=None,
...     nx_iterations=30,
...     nx_random_state=0,
...     #
...     # NODES:
...     node_color="#7793a5",
...     node_size_range=(30, 70),
...     textfont_size_range=(10, 20),
...     textfont_opacity_range=(0.35, 1.00),
...     #
...     # EDGES:
...     edge_top_n=None,
...     edge_similarity_min=None,
...     edge_widths=(2, 2, 4, 6),
...     edge_colors=("#7793a5", "#7793a5", "#7793a5", "#7793a5"),
...     #
...     # AXES:
...     xaxes_range=None,
...     yaxes_range=None,
...     show_axes=False,
...     #
...     # ITEM PARAMS:
...     top_n=10,
...     occ_range=(None, None),
...     gc_range=(None, None),
...     custom_terms=None,
...     #
...     # DATABASE PARAMS:
...     root_dir="example/",
...     database="main",
...     year_filter=(None, None),
...     cited_by_filter=(None, None),
... )
>>> # plot.write_html("sphinx/_static/correlation_matrix/cross_correlation_map.html")