# Calculate time difference between Pandas Dataframe indices

Note this is using numpy >= 1.7, for numpy < 1.7, see the conversion here: http://pandas.pydata.org/pandas-docs/dev/timeseries.html#time-deltas

Your original frame, with a datetime index

In [196]: df
Out[196]:
value
2012-03-16 23:50:00      1
2012-03-16 23:56:00      2
2012-03-17 00:08:00      3
2012-03-17 00:10:00      4
2012-03-17 00:12:00      5
2012-03-17 00:20:00      6
2012-03-20 00:43:00      7

In [199]: df.index
Out[199]:
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-03-16 23:50:00, ..., 2012-03-20 00:43:00]
Length: 7, Freq: None, Timezone: None


Here is the timedelta64 of what you want

In [200]: df['tvalue'] = df.index

In [201]: df['delta'] = (df['tvalue']-df['tvalue'].shift()).fillna(0)

In [202]: df
Out[202]:
value              tvalue            delta
2012-03-16 23:50:00      1 2012-03-16 23:50:00         00:00:00
2012-03-16 23:56:00      2 2012-03-16 23:56:00         00:06:00
2012-03-17 00:08:00      3 2012-03-17 00:08:00         00:12:00
2012-03-17 00:10:00      4 2012-03-17 00:10:00         00:02:00
2012-03-17 00:12:00      5 2012-03-17 00:12:00         00:02:00
2012-03-17 00:20:00      6 2012-03-17 00:20:00         00:08:00
2012-03-20 00:43:00      7 2012-03-20 00:43:00 3 days, 00:23:00


Getting out the answer while disregarding the day difference (your last day is 3/20, prior is 3/17), actually is tricky

In [204]: df['ans'] = df['delta'].apply(lambda x: x  / np.timedelta64(1,'m')).astype('int64') % (24*60)

In [205]: df
Out[205]:
value              tvalue            delta  ans
2012-03-16 23:50:00      1 2012-03-16 23:50:00         00:00:00    0
2012-03-16 23:56:00      2 2012-03-16 23:56:00         00:06:00    6
2012-03-17 00:08:00      3 2012-03-17 00:08:00         00:12:00   12
2012-03-17 00:10:00      4 2012-03-17 00:10:00         00:02:00    2
2012-03-17 00:12:00      5 2012-03-17 00:12:00         00:02:00    2
2012-03-17 00:20:00      6 2012-03-17 00:20:00         00:08:00    8
2012-03-20 00:43:00      7 2012-03-20 00:43:00 3 days, 00:23:00   23