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

Another one to try. Exclude the dates in the date_range:

Edit: Added frequency to date_range. This is now the same as original data.

dropThis = pd.date_range(start_remove,end_remove,freq='2h')
df[~df.index.isin(dropThis)]

We can see the rows are now dropped.

len(df)
169

len(df[~pd.to_datetime(df.index).isin(dropThis)])
120