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Pin pandas to <1.4.0 to avoid bug writing categorical data to CSV

E Madison Bray requested to merge embray/pin-pandas into master

For now this only affects the summary statistics module, so we can remove this restriction if we decided to reduce support for summary statistics

Ironically I just opened #131 (closed) about disabling/removing the summary statistics module, but in the meantime this should be fixed so the tests pass.

Ideally would find a workaround to the actual bug but I can hardly find any reference to this online so I'm pretty confused. When running the tests:

self = <IntervalArray>
[(0.0, 100.0], (100.0, 179.061], (179.061, 320.63], (320.63, 574.123], (574.123, 1028.033] ... (108647...8357.129, 623772.848], (623772.848, 1116935.852], (1116935.852, 2000000.0]]
Length: 18, dtype: interval[float64, right]
value = 'nan'

    def _validate_scalar(self, value):
        if isinstance(value, Interval):
            self._check_closed_matches(value, name="value")
            left, right = value.left, value.right
            # TODO: check subdtype match like _validate_setitem_value?
        elif is_valid_na_for_dtype(value, self.left.dtype):
            # GH#18295
            left = right = value
        else:
>           raise TypeError(
                "can only insert Interval objects and NA into an IntervalArray"
            )
E           TypeError: can only insert Interval objects and NA into an IntervalArray

/home/embray/.local/opt/miniconda/envs/dnadna-cpu/lib/python3.8/site-packages/pandas/core/arrays/interval.py:1102: TypeError

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