[Python] How to pop randomised items from a list in a loop

I have a file containing experimental parameters where each row is a different trial & each column is a separate parameter for the experiment such that a different combination of parameters such as sound & text is chosen at each trial eg. 'Sound': blue, 'Text': red etc.

These parameters are stored in a csv & opened using pandas:

parameters = pd.read_csv('Parameters.csv')
Sound_list = parameters['Sound']
Text_list = parameters['Text']


The for loop is iterating through an experimental loop in Psychopy (not the parameters list itself) but even using the following I can't get it to work.

for i in range(0,10):
n = range(0,len(Sound_list),1)
index = random.choice(n)
Sound_to_play = Sound_list.pop(index)
Text_to_show = Text_list.pop(index)


I am trying to pop each trial from the list such that each combination is shown the same number of times however I get the following error:

Traceback (most recent call last):

File "<ipython-input-4-9fe2444288e3>", line 4, in <module>
Sound_to_play = Sound_list.pop(index)

File "/opt/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py", line 790, in pop
result = self[item]

File "/opt/anaconda3/lib/python3.7/site-packages/pandas/core/series.py", line 871, in __getitem__
result = self.index.get_value(self, key)

File "/opt/anaconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 4405, in get_value
return self._engine.get_value(s, k, tz=getattr(series.dtype, "tz", None))

File "pandas/_libs/index.pyx", line 80, in pandas._libs.index.IndexEngine.get_value

File "pandas/_libs/index.pyx", line 90, in pandas._libs.index.IndexEngine.get_value

File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc

File "pandas/_libs/hashtable_class_helper.pxi", line 997, in pandas._libs.hashtable.Int64HashTable.get_item

File "pandas/_libs/hashtable_class_helper.pxi", line 1004, in pandas._libs.hashtable.Int64HashTable.get_item

KeyError: 0



Does anyone know how to fix this? Thank you!

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