having following timeseries:
In [65]: p
Out[65]:
Date
2008-06-02 125.20
2008-06-03 124.47
2008-06-04 124.40
2008-06-05 126.89
2008-06-06 122.84
2
You could use the index method get_loc, and then slice:
d = pd.to_datetime('2008-06-06')
loc = s.index.get_loc(d)
In [12]: loc
Out[12]: 4
In [13]: s[loc-2:loc+3]
Out[13]:
2008-06-04 124.40
2008-06-05 126.89
2008-06-06 122.84
2008-06-09 123.14
2008-06-10 122.53
Name: SPY
.
If you were just interested in those within two days:
In [14]: dt = datetime.timedelta(1)
In [15]: s[d - 2*dt:d + 2*dt]
Out[15]:
2008-06-04 124.40
2008-06-05 126.89
2008-06-06 122.84
Name: SPY