Jeff Reback
Jeff Reback
from @jbrockmendel an asv wishlist 1) Implement an API; ATM there is only the command line interface, makes it extremely difficult to grok parts of the code in isolation 2)...
Yes, its almost 100% compat (just unpickles in a slightly different manner).However since you are sub-classing the `__new__` signature is _slightly_ different (meaning that `data` is now required, was optional...
Option 1 people complain about everything - it's a good warning and useful
related this this, I think enlargement via an [indexer](http://pandas.pydata.org/pandas-docs/stable/indexing.html#setting-with-enlargement), a bit too magical / not-transparanet / non-performant, unless you have a growable buffer. Better to be explicit at a small...
this package is completely unmaintained at this point
cc @mrocklin
related to this, we might make `groupby().filter()` a lazy method with returned a filtered groupby (rather than an imemdiate evaluation)
-1 on adding anything like this to csv csv is not a high fidelity format and not designed in any way for this. you are basically asking pandas to heroically...
going down this path is a tremendous amount of work - replicating pyarrow effectively this should not be taken lightly - the purpose of having pyarrow as a required dependency...
right I suppose could instrument things maybe via an option ``pandas.options.future.logging='warn'|'raise'|'ignore'`` and namespaced a bit for ``.future.*`` options if we need.