How to change dtype of multiple specific columns
How do i change multiple columns to a float when i also need to change , to.
DF looks like this 
except i dropped all the NAN values as i dont need those rows.
This is the dtypes
And this is the way im doing it now, but it takes hella long time. I know you can do a loop but i don't understand how.
Solution
Use df.iloc:
df.iloc[:, 2:] = df.iloc[:, 2:].replace(',', '.', regex=True).astype(float)
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