Re: speed up pandas calculation

References	<CALyJZZXMmSk8L7+P7erQSp2W4EpkbxiXmJkY-+5svfK5C3Z0kw@mail.gmail.com> <CANc-5UzCLT8ZPF2PCDMQyOqr0gqrDjFGnsRAoFBfGVmCh5-0jg@mail.gmail.com> <CALyJZZWtCwRqL_QZJEe415o1_L_g6A4ZhrFJe6y3z1_jysfSxA@mail.gmail.com> <CALyJZZUQiw7W-EbOqDYF0wfuBJ5pTexP00FEndsOxNy5+MQrnA@mail.gmail.com>
Date	2014-07-30 21:24 -0500
Subject	Re: speed up pandas calculation
From	Skip Montanaro <skip.montanaro@gmail.com>
Newsgroups	comp.lang.python
Message-ID	<mailman.12451.1406773498.18130.python-list@python.org> (permalink)

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(Now that I'm on a real keyboard, more complete responses are a bit easier.)

Regarding the issue of missing columns from keep_col, you could create
sets of what you have and what you want, and toss the rest:

toss_these = list(set(df.columns) - set(keep_col))
del df[toss_these]

Or something to that effect.

Skip

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Re: speed up pandas calculation Skip Montanaro <skip.montanaro@gmail.com> - 2014-07-30 21:24 -0500

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