Function _new_Index

pandas/core/indexes/base.py:294–320

This is called upon unpickling, rather than the default which doesn't have arguments and breaks __new__.

(cls, d)

def _new_Index(cls, d):
    """
    This is called upon unpickling, rather than the default which doesn't
    have arguments and breaks __new__.
    """
    # required for backward compat, because PI can't be instantiated with
    # ordinals through __new__ GH #13277
    d["copy"] = False
    if issubclass(cls, ABCPeriodIndex):
        from pandas.core.indexes.period import _new_PeriodIndex

        return _new_PeriodIndex(cls, **d)

    if issubclass(cls, ABCMultiIndex):
        if "labels" in d and "codes" not in d:
            # GH#23752 "labels" kwarg has been replaced with "codes"
            d["codes"] = d.pop("labels")

        # Since this was a valid MultiIndex at pickle-time, we don't need to
        #  check validty at un-pickle time.
        d["verify_integrity"] = False

    elif "dtype" not in d and "data" in d:
        # Prevent Index.__new__ from conducting inference;
        #  "data" key not in RangeIndex
        d["dtype"] = d["data"].dtype
    return cls.__new__(cls, **d)


@set_module("pandas")