csv_plotter.py

Interactively plot CSV files.

Demo

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