This works:
>>> pd.to_datetime(1, unit='D')
Timestamp('1970-01-02 00:00:00')
However, the following gives incorrect output:
>>> pd.to_datetime(1, unit='D', errors='coerce')
NaT
Details of Configuration:
python: 2.7.11.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 61 Stepping 4, GenuineIntel byteorder: little LC_ALL: None LANG: None
pandas: 0.18.0 nose: 1.3.7 pip: 8.1.1 setuptools: 20.3 Cython: 0.23.4 numpy: 1.10.4 scipy: 0.17.0 statsmodels: 0.6.1 xarray: None IPython: 4.1.2 sphinx: 1.3.5 patsy: 0.4.0 dateutil: 2.5.1 pytz: 2016.2 blosc: None bottleneck: 1.0.0 tables: 3.2.2 numexpr: 2.5 matplotlib: 1.5.1 openpyxl: 2.3.2 xlrd: 0.9.4 xlwt: 1.0.0 xlsxwriter: 0.8.4 lxml: 3.6.0 bs4: 4.4.1 html5lib: None httplib2: None apiclient: None sqlalchemy: 1.0.12 pymysql: None psycopg2: None jinja2: 2.8 boto: 2.39.0
Comment From: jorisvandenbossche
Confirmed with master, thanks for the report!
Comment From: sumitbinnani
Similarly, this is also not working as desired
>>> pd.to_datetime(11111111, unit='D', errors='ignore')
OverflowError: long too big to convert
Comment From: jorisvandenbossche
Ah, duplicate of #11758. Please comment further there