PERF: column_arrays

[jbrockmendel]

Shaves a couple percent off of time_to_json_wide asv

Reprises #42824.

[jreback]

hmm just a couple of percent?

[jbrockmendel]

hmm just a couple of percent?

I'm seeing 13.5% locally

from asv_bench.benchmarks.io.json import *

self = ToJSONWide()
self.setup("columns", "df_td_int_ts")

%timeit self.time_to_json_wide("columns", "df_td_int_ts")
82.4 ms ± 1.71 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)  # <- master
71.3 ms ± 1.68 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)  # <- PR

[jreback]

just converned this is too specialy casey for json. but not a big deal.

[jbrockmendel]

Column_arrays is already only for json

…

On Tue, Aug 31, 2021 at 4:55 PM Jeff Reback ***@***.***> wrote: just converned this is too specialy casey for json. but not a big deal. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#43278 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AB5UM6EYTGGBZGGFMTUKAS3T7VTV3ANCNFSM5C7PZTMA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.

[jbrockmendel]

gentle ping; this is the last of the asv-identified perf PRs