BUG: DatetimeIndex from datetime.datetime shifted by n minutes
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
import datetime as dt
import pytz

tz = pytz.timezone('America/New_York')

data1 = pd.DataFrame([
    {'date': dt.datetime(2019, 1, 1, tzinfo=tz), 'value': 10},
    {'date': dt.datetime(2019, 1, 1, tzinfo=tz), 'value': 10},
    {'date': dt.datetime(2019, 1, 2, tzinfo=tz), 'value': 20}
]).set_index('date')
print(data1.index)

# DatetimeIndex(['2018-12-31 23:56:00-05:00', '2018-12-31 23:56:00-05:00',
#                '2019-01-01 23:56:00-05:00'],
#               dtype='datetime64[ns, America/New_York]', name='date', freq=None)
# 

data2 = pd.DataFrame([
    {'date': pd.Timestamp(year=2019, month=1, day=1, tzinfo=tz), 'value': 10},
    {'date': pd.Timestamp(year=2019, month=1, day=1, tzinfo=tz), 'value': 10},
    {'date': pd.Timestamp(year=2019, month=1, day=2, tzinfo=tz), 'value': 20}
]).set_index('date')
print(data2.index)

# DatetimeIndex(['2019-01-01 00:00:00-05:00', '2019-01-01 00:00:00-05:00',
#                '2019-01-02 00:00:00-05:00'],
#               dtype='datetime64[ns, America/New_York]', name='date', freq=None)
# 

```
#### Problem description

Creating index from python datetime object shifts time by n minutes depending on chosen timezone

#### Expected Output

Output for index created from datetime object should be same as created from Timestamp

#### Similar Issues
https://github.com/pandas-dev/pandas/issues/1676
https://github.com/pandas-dev/pandas/issues/1790

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit: ac318d26cdbe3d10030f4863b84a06e938da9bba
python: 3.6.7.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-46-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.25.0.dev0+327.gac318d26c
pytest: None
pip: 9.0.1
setuptools: 39.0.1
Cython: 0.29.6
numpy: 1.16.2
scipy: None
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: 0.999999999
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None

</details>
