Description
Code Sample, a copy-pastable example if possible
In [70]: pd.to_datetime('2417-10-27 00:00:00', format='%Y-%m-%d %H:%M:%S')
ValueError: time data 2417-10-27 00:00:00 doesn't match format specified
pandas_libs\tslibs\conversion.pyx in pandas._libs.tslibs.conversion.datetime_to_datetime64()
TypeError: Unrecognized value type: <class 'str'>
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
in ()
----> 1 pd.to_datetime('2417-10-27 00:00:00', format='%Y-%m-%d %H:%M:%S')
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in to_datetime(arg, errors, dayfirst, yearfirst, utc, box, format, exact, unit, infer_datetime_format, origin, cache)
467 result = _convert_listlike(arg, box, format)
468 else:
--> 469 result = _convert_listlike(np.array([arg]), box, format)[0]
470
471 return result
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
378 return DatetimeIndex._simple_new(values, name=name, tz=tz)
379 except (ValueError, TypeError):
--> 380 raise e
381
382 if arg is None:
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
366 dayfirst=dayfirst,
367 yearfirst=yearfirst,
--> 368 require_iso8601=require_iso8601
369 )
370
pandas_libs\tslib.pyx in pandas._libs.tslib.array_to_datetime()
pandas_libs\tslib.pyx in pandas._libs.tslib.array_to_datetime()
ValueError: time data 2417-10-27 00:00:00 doesn't match format specified
In [71]: pd.to_datetime('2417-10-27 00:00:00')
OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 2417-10-27 00:00:00
pandas_libs\tslibs\conversion.pyx in pandas._libs.tslibs.conversion.datetime_to_datetime64()
TypeError: Unrecognized value type: <class 'str'>
During handling of the above exception, another exception occurred:
OutOfBoundsDatetime Traceback (most recent call last)
in ()
----> 1 pd.to_datetime('2417-10-27 00:00:00')
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in to_datetime(arg, errors, dayfirst, yearfirst, utc, box, format, exact, unit, infer_datetime_format, origin, cache)
467 result = _convert_listlike(arg, box, format)
468 else:
--> 469 result = _convert_listlike(np.array([arg]), box, format)[0]
470
471 return result
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
378 return DatetimeIndex._simple_new(values, name=name, tz=tz)
379 except (ValueError, TypeError):
--> 380 raise e
381
382 if arg is None:
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\tools\datetimes.py in _convert_listlike(arg, box, format, name, tz)
366 dayfirst=dayfirst,
367 yearfirst=yearfirst,
--> 368 require_iso8601=require_iso8601
369 )
370
pandas_libs\tslib.pyx in pandas._libs.tslib.array_to_datetime()
pandas_libs\tslib.pyx in pandas._libs.tslib.array_to_datetime()
pandas_libs\tslib.pyx in pandas._libs.tslib.array_to_datetime()
pandas_libs\tslib.pyx in pandas._libs.tslib.array_to_datetime()
pandas_libs\tslibs\np_datetime.pyx in pandas._libs.tslibs.np_datetime.check_dts_bounds()
OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 2417-10-27 00:00:00
Problem description
The first case should also raise the OutOfBoundsDatetime
error. The doesn't match format specified error
is misleading.
Expected Output
The first example should also raise an OutOfBoundsDatetime
exception.
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.5.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
LOCALE: None.None
pandas: 0.23.0
pytest: 3.5.1
pip: 10.0.1
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None