date32.py

In [1]: paste
import pandas as pd
import feather

data = {'date': ['2014-05-01 18:47:05.069722', '2014-05-01 18:47:05.119994', 
                 '2014-05-02 18:47:05.178768', '2014-05-02 18:47:05.230071', 
                 '2014-05-02 18:47:05.230071', '2014-05-02 18:47:05.280592']}
df = pd.DataFrame(data, columns = ['date'])

df['date'] = pd.to_datetime(df['date']).dt.date

## -- End pasted text --

In [2]: df
Out[2]: 
         date
0  2014-05-01
1  2014-05-01
2  2014-05-02
3  2014-05-02
4  2014-05-02
5  2014-05-02

In [3]: df['date']
Out[3]: 
0    2014-05-01
1    2014-05-01
2    2014-05-02
3    2014-05-02
4    2014-05-02
5    2014-05-02
Name: date, dtype: object

In [4]: df['date'][0]
Out[4]: datetime.date(2014, 5, 1)

In [5]: df.to_feather('foo.feather')

In [6]: import pyarrow as pa

In [7]: pa.feather.FeatherReader?
Init signature: pa.feather.FeatherReader(source)
Docstring:      <no docstring>
File:           ~/code/arrow/python/pyarrow/feather.py
Type:           type

In [8]: reader = pa.feather.FeatherReader('foo.feather')

In [9]: t = reader.read_table()

In [10]: t
Out[10]: 
pyarrow.Table
date: date32[day]

In [11]: t.to_pandas()
Out[11]: 
        date
0 2014-05-01
1 2014-05-01
2 2014-05-02
3 2014-05-02
4 2014-05-02
5 2014-05-02

In [12]: t.to_pandas().dtypes
Out[12]: 
date    datetime64[ns]
dtype: object

In [13]: t.to_pandas()
Out[13]: 
        date
0 2014-05-01
1 2014-05-01
2 2014-05-02
3 2014-05-02
4 2014-05-02
5 2014-05-02