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no, these are not equivalent in reality. yes in theory they should be but I doubt that there is actual equivalence between these different timezone databases. nor do we actually care. you can either use one or the other. anything else would be way too complicated.
if you want to offer a doc note somewhere I guess that would be ok.
Code Sample, a copy-pastable example if possible
Problem description
I guess (and the existing tests suggest) the two should produce the same results.
Expected Output
l1
andl2
should be perfectly equivalent I guess.Output of
pd.show_versions()
pandas: 0.20.0rc1+53.g1002cc339
pytest: 3.0.6
pip: 9.0.1
setuptools: 33.1.1
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.18.1
xarray: 0.9.1
IPython: 5.1.0.dev
sphinx: 1.4.9
patsy: 0.3.0-dev
dateutil: 2.5.3
pytz: 2016.7
blosc: None
bottleneck: 1.2.0
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.0.0
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.6
lxml: 3.7.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.8
s3fs: None
pandas_gbq: None
pandas_datareader: 0.2.1
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