pandas (original) (raw)

Code Sample, a copy-pastable example if possible

import pandas as pd start = pd.Timestamp('20170101', tz='Europe/Berlin') end = pd.Timestamp('20180101', tz='Europe/Berlin') index = pd.date_range(start, end, freq='15min') data = [1 for x in range(len(index))] series = pd.Series(index=index, data=data) dataframe = pd.DataFrame(series) timestamp = pd.Timestamp('201701011515', tz='Europe/Berlin')

Working

series[timestamp] dataframe.loc[timestamp]

Errors

del series[timestamp] dataframe.drop(timestamp) series.drop(timestamp)

Problem description

It not possible to delete/drop a series/dataframe entry with timezone aware timestamps, while accessing them is possible.

Expected Output

Deletion of the respective entry.

Output of `pd.show_versions()`

INSTALLED VERSIONS ------------------ commit: None python: 3.6.4.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 142 Stepping 9, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None pandas: 0.23.1 pytest: 3.6.2 pip: 10.0.1 setuptools: 39.2.0 Cython: None numpy: 1.14.5 scipy: 1.1.0 pyarrow: None xarray: None IPython: 6.4.0 sphinx: None patsy: None dateutil: 2.7.3 pytz: 2018.5 blosc: None bottleneck: None tables: None numexpr: None feather: None matplotlib: 2.2.2 openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml: None bs4: None html5lib: None sqlalchemy: None pymysql: None psycopg2: None jinja2: None s3fs: None fastparquet: None pandas_gbq: None pandas_datareader: None