Two rating scales confusion axis

Builder
1

Hello,
I’m trying to modify something in my experiment :
So first there are two clouds of dots showing, with one rating scale under each cloud, then we show a “partner”'s rating, which is coded actually on a normal distribution around the first rating. So on a second scale you see your first rating and the partner’s rating. There are two conditions : agreement & disagreement, in disagreement the partner’s rating is on the opposite scale and vice versa.

rating_left = visual.RatingScale(win=win, name='rating_left', marker='triangle', size=1.0, 
                    pos=[-0.5, -0.6], low=0, high=100, labels=['0', '100'], 
                    scale='', tickHeight=0, markerColor='blue')
                    
rating_right = visual.RatingScale(win=win, name='rating_right', marker='triangle', size=1.0, 
                    pos=[0.5, -0.6], low=0, high=100, labels=['0', '100'], 
                    scale='',  tickHeight=0, markerColor='blue')

ratingLeft = rating_left.getRating()
ratingRight = rating_right.getRating()

if ratingLeft == None:
    first_rating = ratingRight
else:
    first_rating = ratingLeft
    rating1_absL = abs(ratingLeft)

thisExp.addData('first_ratingL', ratingLeft)
thisExp.addData('first_ratingR', ratingRight)
thisExp.addData('first_rating', first_rating)

if first_rating == ratingRight:
    if trialType == 'Agreement':
        if partner_rating_side == 'A':
            partner_rating = int(np.random.normal(loc= first_rating+10, scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left = ''
            partner_right = partner_rating
        elif partner_rating_side == 'B':
            partner_rating = int(np.random.normal(loc= first_rating-10, scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left  = ''
            partner_right = partner_rating
    elif trialType == 'Disagreement':
        if partner_rating_side == 'A':
            partner_rating = int(np.random.normal(loc= (first_rating+10), scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left = partner_rating
            partner_right = '' 
        elif partner_rating_side == 'B':
            partner_rating = int(np.random.normal(loc= (first_rating-10), scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left = partner_rating
            partner_right = ''
else:
    if trialType == 'Agreement':
        if partner_rating_side == 'A':
            partner_rating = int(np.random.normal(loc= first_rating+10, scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left = partner_rating
            partner_right = ''
        elif partner_rating_side == 'B':
            partner_rating = int(np.random.normal(loc= first_rating-10, scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left = partner_rating
            partner_right = ''
    elif trialType == 'Disagreement':
        if partner_rating_side == 'A':
            partner_rating = int(np.random.normal(loc= (first_rating+10), scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left = ''
            partner_right = partner_rating 
        elif partner_rating_side == 'B':
            partner_rating = int(np.random.normal(loc= (first_rating-10), scale=5.0, size=None))
            if partner_rating > 100:
                partner_rating = 100
            elif partner_rating < 0:
                partner_rating = 0
            partner_left = ''
            partner_right = partner_rating 

# store to data file
thisExp.addData('partner_rating', partner_rating)
thisExp.addData('partner_ratingL', partner_left)
thisExp.addData('partner_ratingR', partner_right)

partner_ratingL = visual.RatingScale(win=win, name='partner_ratingL', marker='triangle', size=1.0, 
                    pos=[-0.5, -0.6], low=0, high=100, labels=['0', '100'], 
                    scale='', tickHeight=0, markerStart=partner_left, markerColor='orange', showAccept = False)
                    
partner_ratingR = visual.RatingScale(win=win, name='partner_ratingR', marker='triangle', size=1.0, 
                       pos=[0.5, -0.6], low=0, high=100, labels=['0', '100'], 
                       scale='', tickHeight=0, markerStart=partner_right, markerColor='orange', showAccept = False)

first_ratingL = visual.RatingScale(win=win, name='first_ratingL', marker='triangle', size=1.0, 
                    pos=[-0.5, -0.6], low=0, high=100, labels=['0', '100'], 
                    scale='', tickHeight=0, markerStart=ratingLeft, markerColor='blue', showAccept = False)
                    
first_ratingR = visual.RatingScale(win=win, name='first_ratingR', marker='triangle', size=1.0, 
                       pos=[0.5, -0.6], low=0, high=100, labels=['0', '100'], 
                       scale='', tickHeight=0, markerStart=ratingRight, markerColor='blue', showAccept = False)

But it seems that Psychopy gets really confused because the scales have the same low & high, in the csv data file all the calculations are good, but when it comes to showing the rating on the scales it gets confused, does anybody have an idea of how i could make it appear correctly?