Code Sample, a copy-pastable example if possible
s = Series(date_range('2012-1-1', periods=3, freq='D'))
td = Series([ Timedelta(days=i) for i in range(3) ])
df = DataFrame(dict(A = s, B = td))
df['C'] = df['A'] + df['B']
Problem description
The last line throw an error TypeError: data type "datetime" not understood. The pandas version is 0.19.2.
I tried the same code with pandas 0.20.2, it runs correctly.
Expected Output
A B C
0 2012-01-01 0 days 2012-01-01
1 2012-01-02 1 days 2012-01-03
2 2012-01-03 2 days 2012-01-05
Output of pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Darwin
OS-release: 16.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.19.2
nose: None
pip: 9.0.1
setuptools: 27.2.0
Cython: None
numpy: 1.13.0
scipy: None
statsmodels: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
boto: None
pandas_datareader: None
Comment From: jreback
since this runs in 0.20.2 this is not an issue. we don't backport across major versions. you are welcome to upgrade.