Daily data resampling default behavior
from @dhirschfeld

I just ran across the bug described in issue #3020 (https://github.com/pydata/pandas/issues/3020) as our unit-tests started failing after upgrading pandas.

I did a git bisection and found the first bad commit to be 9deda9e6:

```
9deda9e687915017cc9db7698504ead1f89ead9e is the first bad commit
commit 9deda9e687915017cc9db7698504ead1f89ead9e
Author: Chang She
Date:   Sun Dec 2 02:21:10 2012 -0500

    API: change resample to infer correct closed and label value by default #2363

:040000 040000 3abca1d3eb70bcd6ade31581acc4684a3035b81e 4cdeae975685b996ef2f41c738ca70bfd41ca583 M  pandas
```

I think this is a fairly serious regression as (apart from causing our unit-tests to fail) it will silently give incorrect answers for an aggregation if the data has been resampled beforehand.

The following unit-test demonstrates the problem:

def test_resample_doesnt_truncate():
    """Test for issue #3020"""
    import pandas as pd
    dates = pd.date_range('01-Jan-2014','05-Jan-2014', freq='D')
    series = pd.TimeSeries(1, index=dates)
    series = series.resample('D')
    assert series.index[0] == dates[0]
# 
