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dfvue: a minimal GUI for a quick view of csv files

Authors: Matthias Cuntz;

dfvue: a minimal GUI for a quick view of csv files

Abstract

dfvue is a minimal GUI for a quick view of csv files. It uses an input panel similar to Excel to check visually that the csv file is read correctly. It provides most options of pandas.read_csv to be very versatile on possible csv formats. dfvue is a Python script that can be called from within Python or as a command line tool. It is not supposed to produce publication-ready plots but rather provide a quick overview of the csv file. The complete graphical documentation is available at Github Pages. Version 3.0 uses CustomTkinter if installed, otherwise the Azure theme of rbende for conda environments, for example. Version 4.0 allows reading multiple csv files that will be concatenated. Version 5.0 adds the possibility to manipulate the DataFrame, and allows resizing of plotting window. Version 6.0 provides standalone packages.

Keywords

viewer, pandas, GUI, plot

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average