About OCTA¶
This is the documentation for The Order and Complexity Toolbox for Aesthetics (OCTA) version 1.0.0, last updated Aug 25, 2021.
The OCTA Python toolbox was created by Van Geert, Bossens, and Wagemans (2021) as a tool for researchers to create stimuli varying in order and complexity on different dimensions. It was created in Python 3.8 and is dependent on the following Python libraries: svgwrite, svg.path, svgpathtools, svgutils, jsonpickle, html2image, svglib, reportlab, colour, and IPython. We thank the developers of each of these libraries and of the Python programming language.
Installation¶
pip install octa
A simple example¶
from octa.Stimulus import Grid
from octa.patterns import GridPattern
from octa.shapes import Ellipse, Rectangle, Triangle
## Create new stimulus
stim = Grid(n_rows = 6, n_cols = 6, background_color = "none",
row_spacing = 40, col_spacing = 40)
## Determine shape of elements used in the stimulus
stim.shapes = GridPattern.RepeatAcrossColumns([Rectangle, Triangle, Ellipse])
## Determine color of elements used in the stimulus
colors_to_use = ["#1b9fd8", "#6dd6ff", "#006ca1"]
stim.fillcolors = GridPattern.RepeatAcrossColumns(colors_to_use)
## Determine size of elements used in the stimulus
stim.boundingboxes = GridPattern.RepeatAcrossColumns([(30,30)])
stim.Show()
Citing OCTA¶
If you use the OCTA Python toolbox in your (academic) work, please cite: Van Geert, E., Bossens, C., & Wagemans, J. (2021). The Order & Complexity Toolbox for Aesthetics Python library [Computer software]. https://github.com/gestaltrevision/OCTA_toolbox
If you use the OCTA Shiny app in your (academic) work, please cite: Van Geert, E., Bossens, C., & Wagemans, J. (2021). The Order & Complexity Toolbox for Aesthetics Shiny application [Online application]. https://elinevg.shinyapps.io/OCTA_toolbox/
License¶
The OCTA Python toolbox is licensed under the terms of the GNU Lesser General Public License 3.0