LogPlotter

A desktop tool for visualizing Crazyflie log files (CSV format). Load one or more CSV files, select which signals to plot, and view the resulting subplots in a scrollable panel.

Requirements

• Python 3.10 or later
• uv (recommended) or pip

Running

With uv (recommended)

uv run logplotter.py

With pip

pip install -r requirements.txt
python logplotter.py

Usage

1. Click Add Files… to load one or more CSV log files.
2. In the Signal Picker, check the signals you want to plot.
3. Use Plot Configuration to toggle options like linked x-axes, zero-based time, and grid lines.
4. Plots appear in the right panel, one subplot per selected (file, signal) pair.

CSV Format

LogPlotter expects CSV files with a Timestamp (or timestamp_ms) column containing millisecond values, followed by signal columns named in group.signal format (e.g. stateEstimate.x).

Example:

Timestamp,stateEstimate.x,stateEstimate.y,stateEstimate.z
119637,0.12,0.05,0.98
119737,0.13,0.05,0.97