from_dict(..., orient='index') row order preservation inconsistent
#### Code Sample

```python
data = {'B' : [1], 'A' : [2], 'C' :[3]}
print(pd.DataFrame.from_dict(data, orient='index'))

#    0
# B  1
# A  2
# C  3

data = {'B' : dict(col1=1), 'A' : dict(col1=2), 'C' :dict(col1=3)}
print(pd.DataFrame.from_dict(data, orient='index'))

#    col1
# A     2
# B     1
# C     3
```
#### Problem description

If dictionaries are passed for the column values in a call to `pd.DataFrame.from_dict(data, orient='index')`, then the df index is sorted (Not Expected). If the column values are lists, then the index is not sorted (Expected)

#### Expected Output
``` python
data = {'B' : dict(col1=1), 'A' : dict(col1=2), 'C' :dict(col1=3)}
print(pd.DataFrame.from_dict(data, orient='index'))

#    col1
# B     1
# A     2
# C     3

```

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

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 3.7.0.final.0
python-bits: 64
OS: Darwin
OS-release: 18.2.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: 4.0.1
pip: 18.1
setuptools: 40.6.2
Cython: 0.29.1
numpy: 1.15.4
scipy: None
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: 1.8.2
patsy: None
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 3.0.2
openpyxl: None
xlrd: 1.1.0
xlwt: None
xlsxwriter: 1.1.2
lxml: None
bs4: 4.6.3
html5lib: None
sqlalchemy: 1.2.14
pymysql: None
psycopg2: 2.7.6.1 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

</details>
