Location of the documentation

https://pandas.pydata.org/pandas-docs/stable/reference/indexing.html

Documentation problem

Index is described as a "set", but behaves as a multiset: len() counts each occurrent of a duplicate element separately.

Also, Index is described as an "ordered set", but that term connotes a set with an order relation on the values of its elements.

The documentation in the Joins section https://docs.dask.org/en/latest/dataframe-joins.html has code blocks but they aren't interactive and therefore not as useful.

I think the documentation would benefit from an interactive example with use of real data (or data from the demo API).

I had a quick rummage of the tutorial (h

There are (at least) two ways in which the reinterpret_cast is misused:

1. Used instead of static_cast:
   https://github.com/rapidsai/cudf/blob/f7fbc1160b17b969db2708e0cf6033d3db9fc1cf/cpp/src/io/avro/avro_gpu.cu#L95
   static cast should be used to cast from void*.
2. The use causes undefined behavior:
   https://github.com/rapidsai/cudf/blob/f7fbc1160b17b969db2708e0cf6033d3db9fc1cf/cpp/src/io

Support DataFrame.select_dtypes

What happened:
xr.DataArray([1], coords=[('onecoord', [2])]).sel(onecoord=2).to_dataframe(name='name') raise an exception ValueError: no valid index for a 0-dimensional object

What you expected to happen:

the same behavior as: xr.DataArray([1], coords=[('onecoord', [2])]).to_dataframe(name='name')

Anything else we need to know?:

I see that the array after the select