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TouCAN-Plot

An interactive PySide6 + Matplotlib plotting tool for CSV, SMV, and CAN bus log files.

Python License

Features

Supported File Formats

Format Description
.csv / .smv Comma or semicolon delimited data (auto-detected)
.mf4 / .mf4z ASAM MDF v4 measurement data (via asammdf)
.blf CAN bus binary log
.trc CAN bus trace log
.asc CAN bus ASCII log
.dbc CAN database for signal decoding (required with BLF/TRC/ASC)
  • Auto-detects Time / timestamp columns as the default X axis
  • CAN signals are forward-fill interpolated and named as Message.Signal

Plot Interaction

  • Shared X axis across all subplots with linked panning and zooming
  • Secondary Y axis support per series
  • Double-click a subplot to edit its series, or right-click for a context menu
  • Measure cursors — two draggable vertical cursors with a live delta table
  • Expression evaluator — create computed series from math expressions (e.g. sin("series_A") + "series_B" * 2)
  • Multi-file merge — overlay series from different files, each in its own tab
  • X axis switching — reassign the X column without losing subplot configuration
  • Per-series properties (label, color, linewidth, linestyle, marker) persisted across all redraws
  • Live mouse coordinates in the status bar

Toolbar

Button Action
Home Auto-fit all axes
Back / Forward Navigate view history
Pan Pan mode
Zoom Zoom rectangle mode
Customize Matplotlib per-curve property editor
Save Export figure to file
Add subplot Open the series selector
Fit Y Auto-fit Y axis keeping current X range
Measure Toggle measure cursors
X axis Select X axis column

Menus

  • File → Open (Ctrl+O) — open one or more files (multi-select)
  • File → Merge (Ctrl+M) — append files to the current session
  • Style → Customize plot style — preset, line mode, marker, text size, grid, legend
  • Style → Theme — Dark / Light (icons swap automatically)

Right-Click Context Menu

  • Add subplot above / below
  • Delete subplot
  • Legend: show/hide, position (14 options), orientation, text size
  • Line style: plot / step

Style Presets

Four built-in presets: Default, Style 1, IEEE, Other.

Installation

Install the released package from PyPI:

pip install toucan-plot

Usage

# Open a CSV file
toucan-plot data.csv

# Open an MF4 measurement file
toucan-plot recording.mf4

# Open a CAN log with DBC decoding
toucan-plot recording.blf signals.dbc

# Open multiple files (merge mode)
toucan-plot file1.csv file2.csv

# Launch without files
toucan-plot

Requirements

  • Python ≥ 3.13
  • PySide6
  • Matplotlib
  • NumPy
  • pyqtdarktheme
  • SciencePlots
  • python-can (for CAN log files)
  • cantools (for DBC decoding)
  • asammdf (for MF4 files)

License

MIT

Metadata

Release files for toucan-plot 0.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for toucan-plot 0.6.0
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toucan_plot-0.6.0.tar.gz 953.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for toucan-plot 0.6.0
File Interpreter ABI Platform
toucan_plot-0.6.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.9 MB

Release files / toucan_plot-0.6.0.tar.gz

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