import pandas as pd
s = pd.Series(['2012-01-01 10:00', '2012-02-10 23:20', '2012-03-22 12:40', '2012-05-02 02:00', '2012-06-11 15:20', '2012-07-22 04:40','2012-08-31 18:00', '2012-10-11 07:20', '2012-11-20 20:40', '2012-12-31 10:00'])
print s
0 2012-01-01 10:00
1 2012-02-10 23:20
2 2012-03-22 12:40
3 2012-05-02 02:00
4 2012-06-11 15:20
5 2012-07-22 04:40
6 2012-08-31 18:00
7 2012-10-11 07:20
8 2012-11-20 20:40
9 2012-12-31 10:00
dtype: object
print pd.to_datetime(s, format='%Y-%m-%d', errors='raise', infer_datetime_format=False, exact=True)
0 2012-01-01 10:00:00
1 2012-02-10 23:20:00
2 2012-03-22 12:40:00
3 2012-05-02 02:00:00
4 2012-06-11 15:20:00
5 2012-07-22 04:40:00
6 2012-08-31 18:00:00
7 2012-10-11 07:20:00
8 2012-11-20 20:40:00
9 2012-12-31 10:00:00
dtype: datetime64[ns]
A ValueError exception because string '2012-01-01 10:00' (and all others of this series) does not comply with format string '%Y-%m-%d' and exact conversion is required.
pd.show_versions() INSTALLED VERSIONS
commit: None
python: 2.7.10.final.0
python-bits: 64
OS: Darwin
OS-release: 15.3.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
pandas: 0.17.1
nose: 1.3.6
pip: 8.0.3
setuptools: 18.0
Cython: 0.23.4
numpy: 1.10.4
scipy: 0.16.0
statsmodels: None
IPython: 3.0.0
sphinx: None
patsy: None
dateutil: 2.5.0
pytz: 2015.7
blosc: None
bottleneck: 1.0.0
tables: 3.2.2
numexpr: 2.4.6
matplotlib: 1.4.3
openpyxl: 2.2.2
xlrd: 0.9.3
xlwt: 0.8.0
xlsxwriter: 0.7.3
lxml: 3.4.4
bs4: None
html5lib: None
httplib2: 0.9.1
apiclient: None
sqlalchemy: 1.0.9
pymysql: None
psycopg2: 2.6.1 (dt dec pq3 ext lo64)
Jinja2: None
fersarr, Jaakkonen, aflag and MarcoGorelli
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