# import necessary libraries
import pandas as pd

# create sample series
time_series = pd.Series(['2022-01-01', '2022-01-03', '2022-01-04'], 
                        dtype='datetime64[ns]')
values = pd.Series([10, 20, 30])

# create a dataframe from the series
df = pd.DataFrame({'date': time_series, 'value':values})

# set date column as index
df = df.set_index('date')

# forward fill missing values
df = df.resample('D').ffill()

# print the results
print(df)