Create Index objects even if dates are out of bounds #1
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Occasionally, it can be useful to work with datetime objects that cannot be expressed as np.datetime64 objects with ns precision. PeriodIndex is currently the only way to make a pandas.Index object consisting of such datetime objects. But sometimes we really want our index objects to consist of datetimes, even if they are a less efficient way to represent dates. This patch allows for falling back to creating generic Index objects if an OutOfBoundsDatetime exception is encountered when attempting to create an Index.
shoyer
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Sep 10, 2015
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Occasionally, it can be useful to work with datetime objects that cannot be
expressed as np.datetime64 objects with ns precision.
PeriodIndex is currently the only way to make a pandas.Index object consisting
of such datetime objects. But sometimes we really want our index objects to
consist of datetimes, even if they are a less efficient way to represent
dates.
This patch allows for falling back to creating generic Index objects if an
OutOfBoundsDatetime exception is encountered when attempting to create an
Index.