Description
(since this is my first bug report I am happy for any feedback :) )
import pandas as pd
cet_idx = pd.date_range(start=pd.to_datetime('today').normalize(), periods=10, freq='15min', tz='CET')
utc_idx = cet_idx.tz_convert('utc')
cet_series = pd.Series(data=2, index=cet_idx)
utc_series = pd.Series(data=2, index=utc_idx)
print(cet_series.index.tz)
>> <DstTzInfo 'CET' CET+1:00:00 STD>
out_series = utc_series * cet_series # The output is irrelevant
print(cet_series.index.tz)
>> <UTC>Problem description
The timezone of the series 'cet_series' changes by the multiplication. Since it is only an input series the timezone should stay the same.
Expected Output
... # the same initialization as above
print(cet_series.index.tz)
>> <DstTzInfo 'CET' CET+1:00:00 STD>
utc_series * cet_series # The output is irrelevant
print(cet_series.index.tz)
>> <DstTzInfo 'CET' CET+1:00:00 STD>Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.8.2.final.0
python-bits : 64
OS : Linux
OS-release : 5.3.0-46-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.0.1
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 19.2.3
setuptools : 41.2.0
Cython : None
pytest : None
hypothesis : None
sphinx : 2.4.4
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.1
IPython : 7.13.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : 3.0.3
pandas_gbq : None
pyarrow : None
pytables : None
pytest : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : 1.3.13
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : None