Settings

To generate plots, provide a HAL collection identifier for the BiSO or an OpenAlex ID for the PubPart. If the year is not specified, the current year is used.

BiSO example

To plot the top conferences attended by Université Paris-Saclay researchers:

from dibisoplot.biso import Conferences

conf = Conferences(
    entity_id = "UNIV-PARIS-SACLAY"
)

conf_fig = conf.get_figure()

conf_fig.show()

BiSO plots with scanR

For some plots, you will need to provide API credentials to access to the scanR API :

from dibisoplot.biso import PrivateSectorCollaborations

private_collabs = PrivateSectorCollaborations(
    entity_id = "LGI",
    year = 2023,
    scanr_api_password = "",
    scanr_api_url = "",
    scanr_api_username = "",
    scanr_publications_index = "",
)

private_collabs_fig = private_collabs.get_figure()

private_collabs_fig.show()

Customize the layout

You can customize the plot’s layout by using arguments available in the class or by directly applying layout to the plotly figure:

from dibisoplot.biso import Conferences

conf = Conferences(
    entity_id = "UNIV-PARIS-SACLAY",
    max_plotted_entities = 10,
    title = "Top conferences",
    main_color = "green"
)

conf_fig = conf.get_figure()

# Update the plotly figure layout
conf_fig.update_layout(
    margin = dict(l=50, r=50, b=100, t=100, pad=4),
    height = 400
)

conf_fig.show()

For a full list of available arguments, refer to the class reference and __init__ arguments.