Pandas-dev

Download

pandas-dev@python.org

July 2015

3 participants
1 discussions

Proposal to change the default of to_datetime in case of errors from 'ignore' to 'raise'
by Joris Van den Bossche July 27, 2015

July 27, 2015

Hi all, On github there is a proposal to change the default behaviour of to_datetime in case of a parsing error from 'ignore' (leaving the values untouched) to 'raise' (raise an error). As a small example, the current behaviour: In [5]: pd.to_datetime('2014-30-30', errors='ignore') # the default now Out[5]: '2014-30-30' In [6]: pd.to_datetime('2014-30-30', errors='raise') ... ValueError: month must be in 1..12 So the proposal would be to change the default to the second case, raising an error. Note that this behaviour is already the default when providing your own format (and so in fact ignoring the value of the errors keyword): In [7]: pd.to_datetime('2014-30-30', format='%Y-%m-%d') ... ValueError: time data '2014-30-30' does not match format '%Y-%m-%d' *Are there any objections to this change? * *Are there people relying on the fact that, by default, to_datetime returns the exact original value if parsing does not succeed?* Best regards, Joris

3 3