python - Replace items in column based on list -

i have dataframe so:

date        value 19990506    0.6 19990506    0.8 19990607    1.2 20000802    0.4 

and have 2 lists this:

list1 = ['19990506', '19990607', '20000802'] list2 = ['1999201', '1999232', '2000252'] 

the items in list1 coincide values in column date , want replace them items in list2. in date 19990506 replaced 1999201 , 19990607 replaced 1999232. think need zip lists this, after @ loss on best way go it. showing simplified dataframe using .replace not efficient me. desired output this:

date      value 1999201   0.6 1999201   0.8 1999232   1.2 2000252   0.4 

if create dictionary maps list1 list2 can use series.map:

df = pd.read_clipboard()  list1 = ['19990506', '19990607', '20000802'] list2 = ['1999201', '1999232', '2000252']  # when read in data ints in date column #   need ints in replacement map, if have #   strings remove int() conversions replacement_map = {int(i1): int(i2) i1, i2 in zip(list1, list2)} df['date'] = df['date'].map(replacement_map) df out[13]:        date  value 0  1999201    0.6 1  1999201    0.8 2  1999232    1.2 3  2000252    0.4