Split a series on time gaps in pandas?

Question

Is it possible to split a time series on it\'s gaps. For example, suppose we had the following:

rng2011 = pd.date_range(\'1/1/2011\', periods=72, freq=\'H\')         


        

Answer 1

Assuming Y is a column in your dataframe, one way is to use diff and cumsum:

df = DataFrame(Y)
df[1] = df[0].diff() > 600000000000.0 #nanoseconds in ten minutes
df[1] = df[1].apply(lambda x: 1 if x else 0).cumsum()
df.groupby(1)

Note: If you use the number of nanoseconds in 72 hours it'll split into two groups.