Pandas.DataFrame slicing with multiple date ranges

Question

I have a datetime-indexed dataframe object with 100,000+ rows. I was wondering if there was a convenient way using pandas to get a subset of this dataframe that is within multip

Answer 1

I feel the best option will be to use the direct checks rather than using loc function:

df = df[((df.index >= '2016-6-27') & (df.index <= '2016-6-27 5:00')) 
    | ((df.index >= '2016-6-27 15:00') & (df.index < '2016-6-28'))]

It works for me.

Major issue with loc function with a slice is that the limits should be present in the actual values, if not this will result in KeyError.