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Showing content from https://github.com/pandas-dev/pandas/issues/54467 below:

deprecate errors='ignore' in to_datetime and make output dtype predictable · Issue #54467 · pandas-dev/pandas · GitHub

• Adding new functionality to pandas

• Changing existing functionality in pandas

• Removing existing functionality in pandas

currently, if you do to_datetime(inputs), you don't really know what the dtype of the output will be. It could be Index or DatetimeIndex

Deprecating parsing mixed offsets goes part of the way to addressing this

Can we go all the way there, and deprecate errors='ignore'? Then, if the computation succeeds, then you get DatetimeIndex (potentially with some NaTs if errors='coerce')

none that I can think of

there's talk about query optimisation in pandas, and greater predictability should help with that

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