"2020-8-05" is not a standard time format, you can use
However, such analysis is not feasible for data sources that are not uniform or standardized, such as:
2020-8-5, 2020-08-5, 2020-8-05, 2020-8-5 12:00:00
Is it possible to use string splitting to unify the non-standard input into the canonical one, so that we do not need to care too much about the format of the input, as long as it is a normal time format, not too canonical.
The Parse() method cannot parse a time string when the month or date less than 10 is not preceded by 0, like this:
Do need to support this less formal time format string, thank you!
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