Create interactive Matplotlib figures!
Project description
Interactive Figure
This package serves for students to learn the basics of Python, Matplotlib and setting up reaction time experiments (visual search task, Stroop task, etc.). For a more accurate timing environment one should refer to e.g. PsychoPy.
This is currently used at the University of Amsterdam (UvA) in the course Introduction to Python Programming for Neuroscientists.
Package created using Hatch.
Installation
pip install interactive-figure
Usage
from interactive_figure import interactive_figure
interactive_figure.create()
# Stall until user input is received.
interactive_figure.wait_for_interaction()
key = interactive_figure.get_last_keypress()
print(f"Pressed key: {key}")
interactive_figure.close()
Demos can be found in the demo folder on GitHub.
Functionality
User interaction
- Capture key presses, button presses and mouse location
Figure control
- Create
- Toggle fullscreen
- Clear
- Wait
- Wait for interaction (optionally timeout)
- Draw
- Close
Limitations
- Waiting for user input will not work in Jupyter Notebooks and the interactive interpreter due to the way Matplotlib handles events.
- Automated testing is hard since tests should cover multiple backends (macosx, QtAgg, Tkgg) on multiple platforms (Windows, macOS, Linux). Tips are very welcome!
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