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Spark is really inconsistent in how it handles some values like -0.0 vs 0.0 and the various NaN values that are possible. I don't expect cuDF to be aware of any of this, but I would like the ability to work around it in some cases by treating the floating point value as if it were just a bunch of bits. To me logical_cast feels like the right place to do this, but floating point values are

When grouping by variable in Pivot Table, it would be nice if Group By would output an actual date for datetime variables.

E.g.:

• A mean of [2020-01-01, 2020-01-02, 2020-01-03] would output 2020-01-02.
• A median of [2020-01-01, 2020-01-02, 2020-01-03, 2020-01-03, 2020-01-04] would output 2020-01-03.
• A sum ... Don't know. Probably output a float?
• Min, max ... This one is obvious.
• Va

Support Series.median()

Is your feature request related to a problem? Please describe.

I am trying to drop particular indices from a dimension that doesn't have coordinates.

Following: [drop_sel() documentation](http://xarray.pydata.org/en/stable/generated/xarray.Dataset.drop_sel.html#xarray.Dataset.drop_se

The plotly plots on my macbook on Ubuntu 20.04 and pandasgui 0.2.3.2 have very tiny font. Wondering if there's a way to change this.. See pic below.