Description
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I have confirmed this bug exists on the latest version of pandas.
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(optional) I have confirmed this bug exists on the master branch of pandas.
If Dataframe has index which timezone is set to dateutil.tz.tzlocal(), it could not be saved to parquet.
It might be related to #24310
Code Sample, a copy-pastable example
from dateutil.tz import tzlocal
ind = pd.date_range('2020-02-01','2020-04-14').tz_localize(tzlocal())
x = pd.DataFrame([[1,2]]*len(ind), index=ind, columns=['A','B'])
x.to_parquet('tmp.parquet')Problem description
The code raises ValueError: Unable to convert timezone "tzlocal()" to string.
However saving to e.g. CSV works well:
x.to_csv('tmp.csv')Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.1.final.0
python-bits : 64
OS : Darwin
OS-release : 18.7.0
machine : x86_64
processor : i386
byteorder : little
LC_ALL : en_US.UTF-8
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.0.3
numpy : 1.18.2
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 42.0.1.post20191125
Cython : None
pytest : 5.3.0
hypothesis : None
sphinx : 2.2.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.4.1
html5lib : None
pymysql : 0.9.3
psycopg2 : 2.8.5 (dt dec pq3 ext lo64)
jinja2 : 2.10.1
IPython : 7.13.0
pandas_datareader: None
bs4 : 4.6.3
bottleneck : None
fastparquet : 0.3.2
gcsfs : None
lxml.etree : 4.4.1
matplotlib : 3.1.3
numexpr : 2.7.0
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 0.16.0
pytables : None
pytest : 5.3.0
pyxlsb : None
s3fs : 0.4.2
scipy : 1.3.1
sqlalchemy : 1.3.13
tables : 3.4.4
tabulate : None
xarray : None
xlrd : 1.1.0
xlwt : None
xlsxwriter : None
numba : 0.46.0