Python Pandas: drop rows of a timeserie based on time range

Question

I have the following timeserie:

start = pd.to_datetime(\'2016-1-1\')
end = pd.to_datetime(\'2016-1-15\')
rng = pd.date_range(start, end, freq=\'2h\')
df = pd.Dat         


        

Answer 1

df = df.drop(pd.date_range('2018-01-01', '2018-02-01')), errors='ignore')