ASV: Add benchmark for indexing with .loc for sorted/unsorted DatetimeIndex

[mzeitlin11]

xref #17754, a benchmark should be added for indexing with .loc for sorted/unsorted DatetimeIndex. With a constructed DatetimeIndex, for example

dates = pd.date_range('2011-1-1', periods=500000, freq='min')
index = np.random.choice(dates, 500000, replace=True)
df = pd.DataFrame(index=index, data={'a': 1})
df_sorted = df.sort_index()

the behavior of interest to benchmark is

df.loc['2011-6-11']

and

df_sorted.loc['2011-6-11']

[ngcd04-fa07]

Hey
This would be my first open-source contribution, and I'd love to work on this. Would you please assign this to me and guide me a bit as to what needs to be done?
Thank you

[sonalprabhu]

Is anyone working on this?
If not, cn I assign this issue to myself?

[mzeitlin11]

Anyone is welcome to work on this! Just comment "take" and you'll be automatically assigned. See https://pandas.pydata.org/docs/development/contributing_codebase.html#running-the-performance-test-suite for additional information about the task of adding a benchmark

[sonalprabhu]

take