[pandas] TypeError: list indices must be integers or slices, not str but type is int.

[cspower]

I'm reading from an .ods file randomly selected cells. I randomly select them by the file loc(index).at('the column name')
I created this list [('L', 1), ('L', 6), ('L', 7), ('C', 1), ('C', 6), ('C', 7)] and put the second value into loc() and the first value into at().
I get the error below saying it needs to be an integer but when I print out the type() of the second value it says it is an integer.

def get_exercise(file, m_g):
    df = pd.read_excel(file)
    df_len = (len(df))
    rand_nums = random.sample(range(0, df_len + 1), 3 )
    ix_mg = [(mg, rn) for mg in m_g for rn in rand_nums]
    pprint(ix_mg) 
    pprint(type(ix_mg[0][1]))
                
    exercises = df.loc[ix_mg[0][1]].at[m_g[ix_mg[0][0]]]
    pprint(exercises)

returned values

Output:
[('L', 1), ('L', 6), ('', 7), ('C', 1), ('C', 6), ('C', 7)]
<class 'int'>

Error:
Traceback (most recent call last):
  File "/home/cspower/python_projects/D_Ex_R.py", line 49, in <module>
    main()
  File "/home/cspower/python_projects/D_Ex_R.py", line 45, in main
    get_ex(file, m_g)
  File "/home/cspower/python_projects/D_Ex_R.py", line 35, in get_ex
    ex= df.loc[ix_mg[0][1]].at[m_g[ix_mg[0][0]]]

TypeError: list indices must be integers or slices, not str

This code show it is an int

pprint(type(ix_mg[0][1]))

returned value

Output:
<class 'int'>