OverflowError: value too large to convert to int
#### Code Sample, a copy-pastable example if possible

```python
df.to_hdf('../data/base.h5', 'all')
/work/.pylib/3/pandas/core/generic.py in to_hdf(self, path_or_buf, key, **kwargs)
   2529         from pandas.io import pytables
   2530 
-> 2531         pytables.to_hdf(path_or_buf, key, self, **kwargs)
   2532 
   2533     def to_msgpack(self, path_or_buf=None, encoding="utf-8", **kwargs):

/work/.pylib/3/pandas/io/pytables.py in to_hdf(path_or_buf, key, value, mode, complevel, complib, append, **kwargs)
    276             path_or_buf, mode=mode, complevel=complevel, complib=complib
    277         ) as store:
--> 278             f(store)
    279     else:
    280         f(path_or_buf)

/work/.pylib/3/pandas/io/pytables.py in <lambda>(store)
    269         f = lambda store: store.append(key, value, **kwargs)
    270     else:
--> 271         f = lambda store: store.put(key, value, **kwargs)
    272 
    273     path_or_buf = _stringify_path(path_or_buf)

/work/.pylib/3/pandas/io/pytables.py in put(self, key, value, format, append, **kwargs)
    957             format = get_option("io.hdf.default_format") or "fixed"
    958         kwargs = self._validate_format(format, kwargs)
--> 959         self._write_to_group(key, value, append=append, **kwargs)
    960 
    961     def remove(self, key, where=None, start=None, stop=None):

/work/.pylib/3/pandas/io/pytables.py in _write_to_group(self, key, value, format, index, append, complib, encoding, **kwargs)
   1523 
   1524         # write the object
-> 1525         s.write(obj=value, append=append, complib=complib, **kwargs)
   1526 
   1527         if s.is_table and index:

/work/.pylib/3/pandas/io/pytables.py in write(self, obj, **kwargs)
   3230             blk_items = data.items.take(blk.mgr_locs)
   3231             self.write_array(
-> 3232                 "block{idx}_values".format(idx=i), blk.values, items=blk_items
   3233             )
   3234             self.write_index("block{idx}_items".format(idx=i), blk_items)

/work/.pylib/3/pandas/io/pytables.py in write_array(self, key, value, items)
   2997 
   2998             vlarr = self._handle.create_vlarray(self.group, key, _tables().ObjectAtom())
-> 2999             vlarr.append(value)
   3000         else:
   3001             if empty_array:

/usr/local/anaconda3/lib/python3.6/site-packages/tables/vlarray.py in append(self, sequence)
    545             nparr = None
    546 
--> 547         self._append(nparr, nobjects)
    548         self.nrows += 1
    549 

tables/hdf5extension.pyx in tables.hdf5extension.VLArray._append()

OverflowError: value too large to convert to int
```

#### Output of ``pd.show_versions()``
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.6.7.final.0
python-bits      : 64
OS               : Linux
OS-release       : 3.10.0-693.5.2.el7.x86_64
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : zh_CN.utf8
LANG             : None
LOCALE           : zh_CN.UTF-8

pandas           : 0.25.0
numpy            : 1.17.0
pytz             : 2019.2
dateutil         : 2.8.0
pip              : 18.1
setuptools       : 41.0.1
Cython           : 0.29.10
pytest           : 5.0.1
hypothesis       : None
sphinx           : 2.1.2
blosc            : None
feather          : 0.4.0
xlsxwriter       : 1.1.8
lxml.etree       : 4.2.5
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : 2.10
IPython          : 7.2.0
pandas_datareader: None
bs4              : 4.7.1
bottleneck       : 1.2.1
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.2.5
matplotlib       : 3.1.1
numexpr          : 2.6.9
odfpy            : None
openpyxl         : 2.6.1
pandas_gbq       : None
pyarrow          : 0.14.1
pytables         : None
s3fs             : None
scipy            : 1.1.0
sqlalchemy       : 1.3.5
tables           : 3.5.1
xarray           : None
xlrd             : 1.2.0
xlwt             : 1.3.0
xlsxwriter       : 1.1.8
