Displaying Rating Scale with an Image and Iterating through a list

Coding
1

I coded up the following series of commands, and for some reason the screen is not advancing past the picture and the rating scale. I am able to make a selection on the first picture, but the second image does not show up. I checked my “Pos_List” and it looks good. The output seems to code the same response form the rating scale on every single stimulus- so it seems to advance through all the stimuli very quickly.

Wondering if I am missing something obvious in this loop.

d = {'ID': [], 'Date': [], 'Time': [], 'Session': [], 'Trial_Number': [],'Stimulus': [],'Response_Type': [],'Reaction_Time': [], 'choiceHistory':[]}

# Create a list from Targets
Pos_List = []
for root, dirs, files in os.walk(Stim_Path):
    for file in files:
        if file.endswith('.jpg'):
            Pos_List.append(Stim_Path + file)

# Shuffle the list
np.random.shuffle(Pos_List)

# Include Some Info about the experiment
d['ID'].append(('ID'))
d['Date'].append((time.strftime("%m/%d/%Y")))
d['Time'].append((time.strftime("%H:%M")))
d['Session'].append(('Encoding'))

ratingScale = visual.RatingScale(win, choices=['Old', 'New'], markerStart=0.5, acceptKeys='space', pos= (0.0, -0.46), disappear=True)

# Present the Pics and store responses
def Present_and_Record():
    trial_count = 0
    for stim in Pos_List:
        Pic_to_Draw = visual.ImageStim(win, image=str(stim))
        clock.reset()
        while ratingScale.noResponse:
            Pic_to_Draw.draw()
            ratingScale.draw()
            win.flip()
        trial_count = trial_count + 1
        Response = ratingScale.getRating()
        decisionTime = ratingScale.getRT()
        choiceHistory = ratingScale.getHistory()
        d['Stimulus'].append((stim))
        d['Response_Type'].append((Response))
        d['Reaction_Time'].append((decisionTime))
        d['choiceHistory'].append((choiceHistory))

# Record Responses

    return(d)

d= Present_and_Record()

Note, I followed Example 1 pretty closely from this link:
https://www.psychopy.org/api/visual/ratingscale.html

2

I found the solution, in case it helps anyone. A simple “ratingScale.reset()” at the end, does the trick.