Filtering and comparing dates with Pandas

I would like to know how to filter different dates at all the different time levels, i.e. find dates by year, month, day, hour, minute and/or day. For example, how do I find all dates that happened in 2014 or 2014 in the month of January or only 2nd January 2014 or ...down to the second?

So I have my date and time dataframe generated from pd.to_datetime

df
    timeStamp
0   2014-01-02 21:03:04
1   2014-02-02 21:03:05
2   2016-02-04 18:03:10

So if I filter by the year 2014 then I would have as output:

    timeStamp
0   2014-01-02 21:03:04
1   2014-02-02 21:03:05

Or as a different example I want to know the dates that happened in 2014 and at the 2nd of each month. This would also result in:

    timeStamp
0   2014-01-02 21:03:04
1   2014-02-02 21:03:05

But if I asked for a date that happened on the 2nd of January 2014

    timeStamp
0   2014-01-02 21:03:04

How can I achieve this at all the different levels?

Also how do you compare dates at these different levels to create an array of boolean indices?