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AnyBody-Research-Group/AnyPyTools: AnyPyTools v.1.6.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Aug 2021Publisher:Zenodo
Authors: Lund, Morten Enemark; Rasmussen, Kasper Pihl; Arfon Smith; JohnRasmussenAnyBody; Sarivan, Matei; Badger, The Gitter;

doi: 10.5281/zenodo.5187643

AnyBody-Research-Group/AnyPyTools: AnyPyTools v.1.6.0

Abstract

Changed: The to_dataframe() methods have been updated. They now return a dataframe without an index by default. They also now support interpolation of the data. app = AnyPyProcess() results = app.start_marco(macro_list) df = results.to_dataframe( interp_var="Main.MyStudy.Output.Abscissa.t", interp_val=linspace(0,1,50) ) Added: Documentation on how to use the to_dataframe() method has been added to the tutorials.

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selected citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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