Description
Code Sample, a copy-pastable example if possible
import pandas as pd
dates = pd.date_range('2017-01-01', '2017-01-31', tz='UTC')
deltas = pd.TimedeltaIndex(pd.np.arange(0, len(dates)), unit='m')
dates + deltas
# Removing the tz='UTC' (making dates tz naive) works
throws:
TypeError Traceback (most recent call last)
<ipython-input-28-708df3869f57> in <module>()
3 dates = pd.date_range('2017-01-01', '2017-01-31', tz='UTC')
4 deltas = pd.TimedeltaIndex(pd.np.arange(0, len(dates)), unit='m')
----> 5 dates + deltas
~/miniconda/lib/python3.6/site-packages/pandas/core/indexes/datetimelike.py in __add__(self, other)
643 from pandas.tseries.offsets import DateOffset
644 if isinstance(other, TimedeltaIndex):
--> 645 return self._add_delta(other)
646 elif isinstance(self, TimedeltaIndex) and isinstance(other, Index):
647 if hasattr(other, '_add_delta'):
~/miniconda/lib/python3.6/site-packages/pandas/core/indexes/datetimes.py in _add_delta(self, delta)
814 new_values = self._add_delta_td(delta)
815 elif isinstance(delta, TimedeltaIndex):
--> 816 new_values = self._add_delta_tdi(delta)
817 # update name when delta is Index
818 name = com._maybe_match_name(self, delta)
~/miniconda/lib/python3.6/site-packages/pandas/core/indexes/datetimelike.py in _add_delta_tdi(self, other)
727 mask = (self._isnan) | (other._isnan)
728 new_values[mask] = iNaT
--> 729 return new_values.view(self.dtype)
730
731 def isin(self, values):
TypeError: data type not understood
Problem description
Adding TimedeltaIndex to timezone-aware DatetimeIndex throws a TypeError. The error goes away if the DatetimeIndex does not have a timezone.
(I vaguely remember seeing an issue on this, but can't seem to find it now when I search.)
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.2.final.0
python-bits: 64
OS: Linux
OS-release: 4.10.0-33-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: C.UTF-8
LANG: C.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.21.0
pytest: None
pip: 9.0.1
setuptools: 36.5.0.post20170921
Cython: None
numpy: 1.13.3
scipy: 0.19.1
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: None
patsy: None
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: None
tables: 3.4.2
numexpr: 2.6.4
feather: None
matplotlib: 2.1.0
openpyxl: None
xlrd: 1.0.0
xlwt: None
xlsxwriter: None
lxml: None
bs4: 4.6.0
html5lib: 0.9999999
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None