PERF: Add asv benchmarks for select_dtypes (14588)

asv_bench/benchmarks/dtypes.py

@@ -1,5 +1,9 @@
+import string
+
 import numpy as np
 
+from pandas import DataFrame
+import pandas._testing as tm
 from pandas.api.types import pandas_dtype
 
 from .pandas_vb_common import (
@@ -62,4 +66,57 @@ def time_infer(self, dtype):
         lib.infer_dtype(self.data_dict[dtype], skipna=False)
 
 
+class SelectDtypes:
+
+    params = [
+        tm.ALL_INT_DTYPES
+        + tm.ALL_EA_INT_DTYPES
+        + tm.FLOAT_DTYPES
+        + tm.COMPLEX_DTYPES
+        + tm.DATETIME64_DTYPES
+        + tm.TIMEDELTA64_DTYPES
+        + tm.BOOL_DTYPES
+    ]
+    param_names = ["dtype"]
+
+    def setup(self, dtype):
+        N, K = 5000, 50
+        self.index = tm.makeStringIndex(N)
+        self.columns = tm.makeStringIndex(K)
+
+        def create_df(data):
+            return DataFrame(data, index=self.index, columns=self.columns)
+
+        self.df_int = create_df(np.random.randint(low=100, size=(N, K)))
+        self.df_float = create_df(np.random.randn(N, K))
+        self.df_bool = create_df(np.random.choice([True, False], size=(N, K)))
+        self.df_string = create_df(
+            np.random.choice(list(string.ascii_letters), size=(N, K))
+        )
+
+    def time_select_dtype_int_include(self, dtype):
+        self.df_int.select_dtypes(include=dtype)
+
+    def time_select_dtype_int_exclude(self, dtype):
+        self.df_int.select_dtypes(exclude=dtype)
+
+    def time_select_dtype_float_include(self, dtype):
+        self.df_float.select_dtypes(include=dtype)
+
+    def time_select_dtype_float_exclude(self, dtype):
+        self.df_float.select_dtypes(exclude=dtype)
+
+    def time_select_dtype_bool_include(self, dtype):
+        self.df_bool.select_dtypes(include=dtype)
+
+    def time_select_dtype_bool_exclude(self, dtype):
+        self.df_bool.select_dtypes(exclude=dtype)
+
+    def time_select_dtype_string_include(self, dtype):
+        self.df_string.select_dtypes(include=dtype)
+
+    def time_select_dtype_string_exclude(self, dtype):
+        self.df_string.select_dtypes(exclude=dtype)
+
+
 from .pandas_vb_common import setup  # noqa: F401 isort:skip