Jeff Reback

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there looks to be some unwanted conversions going on here. welcome for folks to have a look.

you can work around this for now by: ``` In [40]: %time pd.merge(df.reset_index(), new_col.reset_index(), on=['id', 'date'], how='outer').set_index(['id', 'date']) CPU times: user 2.37 s, sys: 97.9 ms, total: 2.47 s Wall...

@qiuwei it would be helpful to look into actually what is happening and propose a patch

ok for something like this. we bundled the c-deps in-line for `msgpack`, but that was reasonably small. So that's an option (at some point). conda only is also ok as...

ahh I see. yeh, really fully converting pandas types is a bit tricky actually (e.g. but see [here](https://github.com/pydata/pandas/blob/master/pandas/io/packers.py) for how the type conversions for msgpack are done. We've also used...

@SanderLam pandas is all volunteer features happen when the community does pull requests - you are welcome to do that core can provide review

This is not an oversight, more like not implemented. We want to move any duplicate fixtures to a higher level (e.g. to a top-level conftest). IF they are identical that...

agree with Tom here I think R is even go too far as this introduces enormous mental complexity; now I have 2 missing values? sure for the advanced user this...

pls show your code exactly