ASV: remove duplicated SelectDtypes benchmark

[jorisvandenbossche]

#36839 added an extensive benchmark class for select_dtypes (dtypes.py::SelectDtypes), but we actually already had a benchmark in frame_methods.py. Now, the new ones are more extensive, testing multiple dtypes and both include/exclude, instead of only including int, so I think the one in frame_methods can be safely removed to avoid duplication of benchmarks:

pandas/asv_bench/benchmarks/dtypes.py

Lines 51 to 112 in 7b78b73

	class SelectDtypes:
	try:
	params = [
	tm.ALL_INT_NUMPY_DTYPES
	+ tm.ALL_INT_EA_DTYPES
	+ tm.FLOAT_NUMPY_DTYPES
	+ tm.COMPLEX_DTYPES
	+ tm.DATETIME64_DTYPES
	+ tm.TIMEDELTA64_DTYPES
	+ tm.BOOL_DTYPES
	]
	except AttributeError:
	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)

[jreback]

thanks @jorisvandenbossche