Parquet, boolean dataframes & reindex
Hello

#### Code Sample, a copy-pastable example if possible

```python
# pandas 0.25.0
# pyarrow 0.14.1
import pandas as pd

df = pd.DataFrame(dtype=bool, index=range(100))
df['A'] = True
df['B'] = False
df['C'] = True
df['D'] = False
df['E'] = True
df['F'] = False

index = [0, 2, 3, 4, 5, 6, 7, 8, 10, 11]
columns = ['A', 'C', 'D', 'F']
dk = df.reindex(columns=columns, index=index)

dk.to_parquet('/tmp/test.parquet')
dg = pd.read_parquet('/tmp/test.parquet')
assert dg.equals(dk)  # ==> assert error
```

The saved dataframe is totally corrupted with most values now being False.

#### Problem description

This issue only appears when using boolean.
The issue is not there when reindexing only columns or only index or when doing both in two steps ie `df.reindex(columns=columns).reindex(index=index)`. `df.loc[index, columns]` is also fine.

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

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.3.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.14.128-112.105.amzn2.x86_64
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : en_US.UTF-8
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 0.25.0
numpy            : 1.16.4
pytz             : 2019.1
dateutil         : 2.8.0
pip              : 19.2.1
setuptools       : 41.0.1
Cython           : 0.29.13
pytest           : 5.0.1
hypothesis       : 4.32.2
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.4.0
html5lib         : 1.0.1
pymysql          : None
psycopg2         : 2.8.3 (dt dec pq3 ext lo64)
jinja2           : 2.10.1
IPython          : 7.7.0
pandas_datareader: None
bs4              : 4.8.0
bottleneck       : 1.2.1
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.4.0
matplotlib       : 3.1.1
numexpr          : 2.6.9
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.14.1
pytables         : None
s3fs             : 0.3.1
scipy            : 1.3.0
sqlalchemy       : 1.3.6
tables           : 3.5.2
xarray           : 0.12.3
xlrd             : 1.2.0
xlwt             : 1.3.0
xlsxwriter       : None

</details>
