toucan-plot 0.5.1

A versatile PySide6 and Matplotlib-based plotting tool for CSV and SMV data files.

TouCAN-Plot

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

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

From PyPI (recommended)

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