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fix to_datetime default error suppression #8894

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fix to_datetime default error suppression #8894

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e70dad4
fix to_datetime default error suppression
Nov 25, 2014
6cc8a03
raise erros by default in to_datetime
Nov 26, 2014
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6 changes: 3 additions & 3 deletions pandas/tseries/tools.py
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Original file line number Diff line number Diff line change
Expand Up @@ -173,7 +173,7 @@ def _guess_datetime_format_for_array(arr, **kwargs):
if len(non_nan_elements):
return _guess_datetime_format(arr[non_nan_elements[0]], **kwargs)

def to_datetime(arg, errors='ignore', dayfirst=False, utc=None, box=True,
def to_datetime(arg, errors='raise', dayfirst=False, utc=None, box=True,
format=None, coerce=False, unit='ns',
infer_datetime_format=False):
"""
Expand All @@ -182,8 +182,8 @@ def to_datetime(arg, errors='ignore', dayfirst=False, utc=None, box=True,
Parameters
----------
arg : string, datetime, array of strings (with possible NAs)
errors : {'ignore', 'raise'}, default 'ignore'
Errors are ignored by default (values left untouched)
errors : {'ignore', 'raise'}, default 'raise'
Option to ignore errors and leave the values that raise them untouched.
dayfirst : boolean, default False
If True parses dates with the day first, eg 20/01/2005
Warning: dayfirst=True is not strict, but will prefer to parse
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