#### Code Sample, a copy-pastable example if possible ```python import pandas as pd # Create a Timestamp for 11pm Monday 28th ts = pd.Timestamp('2017-08-28 23:00:00') # Both weekday() and weekday_name indicate this is a Monday assert ts.weekday() == 0 assert ts.weekday_name == 'Monday' # Now localize the timezone ts = ts.tz_localize('EST') # weekday() still says Monday, but weekday_name says Tuesday! assert ts.weekday() == 0 assert ts.weekday_name == 'Tuesday' ``` #### Problem description For `pd.Timestamp` objects with timezone information, the `weekday_name` attribute appears to give the name of the weekday in UTC (in the above example, this would be 2017-08-29 04:00:00), whereas `weekday()` uses local time. I could find no mention of this difference in the documentation for `weekday` and `weekday_name`. I would expect both to work in the given timezone. #### Expected Output ``` Expected: >>> pd.Timestamp('2017-08-28 23:00:00', tz='EST').weekday_name 'Monday' Actual: >>> pd.Timestamp('2017-08-28 23:00:00', tz='EST').weekday_name 'Tuesday' ``` #### Output of ``pd.show_versions()`` <details> INSTALLED VERSIONS ------------------ commit: None python: 3.6.1.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 58 Stepping 9, GenuineIntel byteorder: little LC_ALL: C LANG: None LOCALE: None.None pandas: 0.20.3 pytest: None pip: 9.0.1 setuptools: 36.2.7 Cython: None numpy: 1.13.1 scipy: None xarray: None IPython: None sphinx: None patsy: None dateutil: 2.6.1 pytz: 2017.2 blosc: None bottleneck: None tables: None numexpr: None feather: None matplotlib: None openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml: None bs4: None html5lib: None sqlalchemy: None pymysql: None psycopg2: 2.7.3.1 (dt dec pq3 ext lo64) jinja2: 2.9.6 s3fs: None pandas_gbq: None pandas_datareader: None </details>