PERF: Add asv benchmarks for select_dtypes (14588)

[avinashpancham]

• closes PERF: asv for select_dtypes #14588
• tests added / passed
• passes black pandas
• passes git diff upstream/master -u -- "*.py" | flake8 --diff
• whatsnew entry

[jreback]

can you show a run of these new benchmarks

[avinashpancham]

asv dev -b dtypes.SelectDtypes gives the following output.

· Discovering benchmarks · Running 8 total benchmarks (1 commits * 1 environments * 8 benchmarks) [ 0.00%] ·· Benchmarking existing-py_Users_avinash_anaconda3_envs_pandas-dev_bin_python3.8 [ 6.25%] ··· Running (dtypes.SelectDtypes.time_select_dtype_bool_exclude--).. [ 18.75%] ··· Running (dtypes.SelectDtypes.time_select_dtype_float_exclude--).. [ 31.25%] ··· Running (dtypes.SelectDtypes.time_select_dtype_int_exclude--).. [ 43.75%] ··· Running (dtypes.SelectDtypes.time_select_dtype_string_exclude--).. [ 56.25%] ··· dtypes.SelectDtypes.time_select_dtype_bool_exclude ok [ 56.25%] ··· ================= ========== dtype ----------------- ---------- uint8 829±20μs uint16 817±4μs uint32 831±20μs uint64 836±9μs int 808±10μs int8 827±20μs int16 815±9μs int32 832±20μs int64 830±20μs UInt8 809±10μs UInt16 813±10μs UInt32 813±10μs UInt64 804±10μs Int8 823±10μs Int16 816±3μs Int32 801±10μs Int64 818±10μs float 817±10μs float32 809±10μs float64 811±10μs complex 798±2μs complex64 865±20μs complex128 861±30μs datetime64[ns] 864±30μs M8[ns] 869±40μs timedelta64[ns] 829±10μs m8[ns] 820±6μs bool 583±5μs bool 592±8μs ================= ==========

[ 62.50%] ··· dtypes.SelectDtypes.time_select_dtype_bool_include ok
[ 62.50%] ··· ================= ===========
dtype
----------------- -----------
uint8 547±6μs
uint16 555±7μs
uint32 547±6μs
uint64 541±7μs
int 566±20μs
int8 560±20μs
int16 539±20μs
int32 579±40μs
int64 610±20μs
UInt8 603±30μs
UInt16 586±40μs
UInt32 570±30μs
UInt64 568±30μs
Int8 565±50μs
Int16 575±30μs
Int32 554±20μs
Int64 649±100μs
float 542±20μs
float32 619±100μs
float64 564±90μs
complex 531±30μs
complex64 557±20μs
complex128 658±200μs
datetime64[ns] 570±30μs
M8[ns] 560±7μs
timedelta64[ns] 545±6μs
m8[ns] 536±8μs
bool 744±10μs
bool 766±5μs
================= ===========

[ 68.75%] ··· dtypes.SelectDtypes.time_select_dtype_float_exclude ok
[ 68.75%] ··· ================= ===========
dtype
----------------- -----------
uint8 811±9μs
uint16 798±10μs
uint32 828±40μs
uint64 817±10μs
int 800±30μs
int8 817±30μs
int16 910±100μs
int32 819±20μs
int64 807±10μs
UInt8 802±10μs
UInt16 776±20μs
UInt32 795±10μs
UInt64 798±20μs
Int8 791±10μs
Int16 771±10μs
Int32 778±9μs
Int64 782±9μs
float 572±7μs
float32 809±10μs
float64 583±3μs
complex 777±8μs
complex64 789±20μs
complex128 829±30μs
datetime64[ns] 803±20μs
M8[ns] 782±7μs
timedelta64[ns] 792±9μs
m8[ns] 810±6μs
bool 891±90μs
bool 790±10μs
================= ===========

[ 75.00%] ··· dtypes.SelectDtypes.time_select_dtype_float_include ok
[ 75.00%] ··· ================= ===========
dtype
----------------- -----------
uint8 538±6μs
uint16 552±10μs
uint32 543±7μs
uint64 531±7μs
int 515±10μs
int8 541±5μs
int16 542±10μs
int32 543±8μs
int64 539±4μs
UInt8 530±8μs
UInt16 537±6μs
UInt32 531±4μs
UInt64 542±6μs
Int8 521±8μs
Int16 528±7μs
Int32 545±20μs
Int64 528±8μs
float 716±20μs
float32 549±4μs
float64 733±4μs
complex 519±10μs
complex64 559±30μs
complex128 583±30μs
datetime64[ns] 561±30μs
M8[ns] 553±20μs
timedelta64[ns] 642±100μs
m8[ns] 544±9μs
bool 525±3μs
bool 527±4μs
================= ===========

[ 81.25%] ··· dtypes.SelectDtypes.time_select_dtype_int_exclude ok
[ 81.25%] ··· ================= ===========
dtype
----------------- -----------
uint8 861±20μs
uint16 866±6μs
uint32 929±300μs
uint64 890±10μs
int 577±10μs
int8 861±6μs
int16 866±20μs
int32 889±20μs
int64 586±9μs
UInt8 842±5μs
UInt16 840±10μs
UInt32 845±10μs
UInt64 884±70μs
Int8 931±200μs
Int16 869±9μs
Int32 830±10μs
Int64 568±6μs
float 847±10μs
float32 878±20μs
float64 852±2μs
complex 838±8μs
complex64 850±10μs
complex128 863±10μs
datetime64[ns] 866±10μs
M8[ns] 852±10μs
timedelta64[ns] 842±10μs
m8[ns] 869±9μs
bool 832±10μs
bool 876±9μs
================= ===========

[ 87.50%] ··· dtypes.SelectDtypes.time_select_dtype_int_include ok
[ 87.50%] ··· ================= ===========
dtype
----------------- -----------
uint8 542±9μs
uint16 539±9μs
uint32 544±10μs
uint64 555±20μs
int 808±9μs
int8 558±20μs
int16 682±200μs
int32 546±10μs
int64 800±6μs
UInt8 536±6μs
UInt16 528±7μs
UInt32 531±6μs
UInt64 541±10μs
Int8 526±2μs
Int16 532±10μs
Int32 527±4μs
Int64 786±8μs
float 518±4μs
float32 545±10μs
float64 536±7μs
complex 522±6μs
complex64 551±10μs
complex128 542±7μs
datetime64[ns] 540±10μs
M8[ns] 539±9μs
timedelta64[ns] 553±10μs
m8[ns] 539±10μs
bool 532±4μs
bool 541±8μs
================= ===========

[ 93.75%] ··· dtypes.SelectDtypes.time_select_dtype_string_exclude ok
[ 93.75%] ··· ================= =============
dtype
----------------- -------------
uint8 1.67±0.05ms
uint16 1.70±0.03ms
uint32 1.70±0.02ms
uint64 1.67±0.03ms
int 1.69±0.04ms
int8 1.71±0.05ms
int16 1.74±0.05ms
int32 1.72±0.02ms
int64 1.73±0.02ms
UInt8 1.70±0.03ms
UInt16 1.70±0.02ms
UInt32 1.70±0.04ms
UInt64 1.68±0.02ms
Int8 1.66±0.02ms
Int16 1.68±0.01ms
Int32 1.68±0.01ms
Int64 1.72±0.02ms
float 1.70±0.03ms
float32 1.69±0.03ms
float64 1.65±0.01ms
complex 1.67±0.01ms
complex64 1.71±0.03ms
complex128 1.68±0.02ms
datetime64[ns] 1.75±0.02ms
M8[ns] 1.72±0.03ms
timedelta64[ns] 1.70±0.01ms
m8[ns] 1.69±0.02ms
bool 1.69±0.02ms
bool 1.69±0.01ms
================= =============

[100.00%] ··· dtypes.SelectDtypes.time_select_dtype_string_include ok
[100.00%] ··· ================= ==========
dtype
----------------- ----------
uint8 550±2μs
uint16 555±10μs
uint32 534±6μs
uint64 535±9μs
int 518±6μs
int8 549±10μs
int16 532±6μs
int32 527±10μs
int64 538±9μs
UInt8 534±10μs
UInt16 533±10μs
UInt32 545±10μs
UInt64 536±4μs
Int8 531±10μs
Int16 535±9μs
Int32 537±2μs
Int64 528±8μs
float 520±10μs
float32 600±80μs
float64 551±6μs
complex 515±6μs
complex64 560±10μs
complex128 554±7μs
datetime64[ns] 545±8μs
M8[ns] 558±10μs
timedelta64[ns] 543±10μs
m8[ns] 539±3μs
bool 533±5μs
bool 532±4μs
================= ==========

[jreback]

thanks @avinashpancham