This is my tuple I guess
df = [(1.8799187420058687, 1), (1.5963945918878317, 2)]
The type of df shows up as this
print(type(df))
<type 'list'>
My goal is to remove the second variable column displayed as 1 and 2
This is how I came up to the result (if that can help)
df = df.groupby('CBF_01').mean()
df = list(zip(df,df.index))
Expected output
df = (1.8799187420058687,1.5963945918878317)
>Solution :
loop through each tuple, save the first value in a list and convert it to tuple.
new_df = tuple([x[0] for x in df])
output: (1.8799187420058687, 1.5963945918878317)