Complete list assigned to each row in python

I created a list as a mean of 2 other columns, the length of the list is same as the number of rows in the dataframe. But when I try to add that list as a column to the dataframe, the entire list gets assigned to each row instead of only corresponding values of the list.

glucose_mean = []
for i in range(len(df)):
    mean = (df['h1_glucose_max']+df['h1_glucose_min'])/2
    glucose_mean.append(mean)

df['glucose'] = glucose_mean

data after adding list

>Solution :

I think you overcomplicated it. You don’t need for-loop but only one line

df['glucose'] = (df['h1_glucose_max'] + df['h1_glucose_min']) / 2

EDIT:

If you want to work with every row separatelly then you can use .apply()

def func(row):
   return (row['h1_glucose_max'] + row['h1_glucose_min']) / 2

df['glucose'] = df.appy(func, axis=1)