• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

I'm not sure if this is a bug, a documentation issue, or just user error.
I found related issues #9750 #29048 that help me get the desired output but still don't explain why behavior doesn't match expectation based on my reading of the docs.

Cod

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

Implements iteration methods of DataFrame objects, including

• items
• iteritems
• keys
• values

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.

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