BUG: HDFStore.get_storer.shape returns (1, #) when the table has 0 row

[chris0411]

import pandas as pd

h5file = r'D:\test.h5'
df = pd.DataFrame(range(10)).iloc[0:0]  # 0 row, 1 column
df.to_hdf(h5file, key='abc', format='f')
h5 = pd.HDFStore(h5file)

print(h5.get_storer('abc').shape)  # get [1, 1] instead of [0, 1]

Problem description

I expect HDFStore.get_storer.shape to give [0, #] where there's 0 row in an HDF file, but it gives [1, #].

This happens in fixed format tables.

Output of pd.show_versions()

INSTALLED VERSIONS

commit : db08276
python : 3.7.9.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.18362
machine : AMD64
processor : Intel64 Family 6 Model 165 Stepping 2, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None
pandas : 1.1.3
numpy : 1.19.1
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.3
setuptools : 50.3.0.post20201006
Cython : 0.29.21
pytest : 6.1.1
hypothesis : 5.37.1
sphinx : 3.2.1
blosc : None
feather : None
xlsxwriter : 1.3.7
lxml.etree : 4.5.2
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.18.1
pandas_datareader: None
bs4 : 4.9.3
bottleneck : 1.3.2
fsspec : 0.8.3
fastparquet : None
gcsfs : None
matplotlib : 3.3.1
numexpr : 2.7.1
odfpy : None
openpyxl : 3.0.5
pandas_gbq : None
pyarrow : None
pytables : None
pyxlsb : None
s3fs : None
scipy : 1.5.2
sqlalchemy : 1.3.19
tables : 3.6.1
tabulate : None
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
numba : 0.51.2