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csv_plotter.py

Interactively plot CSV files.

Demo

csv_plotter.py

Features

  • matplotlib's plot window features:
    • image saving
    • mouse interaction (zoom, crop...)
  • select which columns to plot
  • rename columns
  • select X axis
  • create new curves by inserting expressions parsed by pandas.eval()
  • remove unwanted columns (for organization purposes)
    • Possibly save as a new file (also save new curves)
  • command to reload file contents (in case you make external changes)

Non-features

  • CSV edition (use a text/spreadsheet editor instead)
    • You can only delete columns and add new ones by inserting expressions and save the resulting data frame as a new file
  • open more than one file

TODO

  • Add new curves as linear combinations of the existing data.
  • Add option to configurate color, linesize and linestyle for each curve.
    • button to select color and style sequentially, not randomly
  • Use left and right axes to fit plots with different amplitudes.
  • Improve the positioning of the legends
    • Make only one legend box with both axis lines.

Dependencies

  • matplotlib
  • pygobject
  • pandas

Screenshot

csv_plotter.py

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