Is there a way to have multiple rectangles displayed at the same time using visual.Rect in PsychoPy? - psychopy

Question

I'm trying to create stimuli that consist of 100 small lines in the centre of the screen, with orientations sampled from a Gaussian distribution (please see the image link below):
Orientation stimuli
I've managed to achieve something that almost fits the bill, but this code only works in isolation:
from psychopy import visual, core, event
import numpy as np
from numpy.random import random
import random
Lines = visual.Rect(
win=win, name='Lines',
width=(0.015, 0.0025)[0], height=(0.015, 0.0025)[1],
lineWidth=1, lineColor=[1,1,1], lineColorSpace='rgb',
fillColor=[1,1,1], fillColorSpace='rgb',
opacity=1, depth=-2.0, interpolate=True)
lines_hpos = np.random.uniform(-0.49,0.49,100)
mu = 315
sigma = 15
for i in range(100):
Lines.pos = [lines_hpos[i],np.random.uniform(-0.49,0.49)]
Lines.ori = random.gauss(mu, sigma)
I've tried to manipulate this code so that I can integrate it into the full experiment I'm designing in PsychoPy's experiment builder. I run the below code in the experiment builder's coding window calling 'gdist' and 'loc' as values for the 'Orientation' and 'Position' of the rectangles, respectively:
import random
gdist =[]
loc = []
lines_hpos = np.random.uniform(-0.49,0.49,100)
mu = 90
sigma = 20
for i in range(100):
rloc = [lines_hpos[i],np.random.uniform(-0.49,0.49)]
loc.append(rloc)
gauss = random.gauss(mu, sigma)
gdist.append(gauss)
When I attempt to run the experiment, I get an error return and the experiment fails to start:
File "C:\Users\r02mj20\AppData\Local\PsychoPy3\lib\site-packages\psychopy\visual\image.py", line 238, in __del__
File "C:\Users\r02mj20\AppData\Local\PsychoPy3\lib\site-packages\pyglet\gl\lib.py", line 97, in errcheck
ImportError: sys.meta_path is None, Python is likely shutting down
I'm assuming this has something to do with pyglet not liking the idea of there being 100 rectangles all at once (side note: the script works fine if range(1)). If anyone has any suggestions for how I might fix or work around this problem, I'd be eternally grateful.

Answer 1

i don't see any problem with this idea, except you better use visual.Line instead of Rect, and your units of measure are not described; the key to preserving video memory is BufferImageStim, btw
from psychopy import visual, core, event, monitors
from psychopy.iohub.client import launchHubServer
import random
import numpy as np
MU = 315; SIGMA = 15
num_lines = 100
io = launchHubServer(iohub_config_name='iohub_config.yaml')
display = io.devices.display
mon = monitors.Monitor(name = display.getPsychopyMonitorName())
win = visual.Window([640, 480], units='pix', viewScale = 1.0,
monitor = mon, winType='pyglet',
fullScr = False, waitBlanking = True, useFBO = True, useLights = False,
allowStencil=False, allowGui = True,
screen = display.getIndex(), colorSpace = 'rgb255', color = [128,128,128],
name = 'my_win01')
rects = []
lines_hpos = np.random.uniform(-0.49, 0.49, num_lines)
for i in range(num_lines):
line_rect = visual.Rect(win=win, size=(0.001, 1.0), units='norm',
pos=(0,0), lineWidth=1, lineColor=[1,1,1], fillColor=[1,1,1], opacity=1, depth=-2.0,
name='lines_rect', interpolate=True, autoLog=False, autoDraw=False)
line_rect.pos = [lines_hpos[i], np.random.uniform(-0.49,0.49)]
line_rect.ori = random.gauss(MU, SIGMA)
rects.append(line_rect)
rect_buffer = visual.BufferImageStim(win, buffer='back', stim=rects, sqPower2=False, interpolate=False, name='rect-buffer', autoLog=True)
rect_buffer.draw()
win.flip()
event.waitKeys()