- adding benchmark files

Author: jihwans

asv_bench/asv.conf.json

@@ -53,6 +53,7 @@
         "xlwt": [],
         "odfpy": [],
         "pytest": [],
+        "jinja2": [],
         // If using Windows with python 2.7 and want to build using the
         // mingw toolchain (rather than MSVC), uncomment the following line.
         // "libpython": [],

asv_bench/benchmarks/io/style.py

@@ -0,0 +1,45 @@
+import numpy as np
+
+from pandas import DataFrame
+
+from ..pandas_vb_common import BaseIO, tm
+
+
+class RenderApply(BaseIO):
+
+    params = [[12, 24, 36], [12, 120, 1200]]
+    param_names = ["cols", "rows"]
+
+    def setup(self, cols, rows):
+        self.df = DataFrame(
+            np.random.randn(rows, cols),
+            columns=[f"float_{i}" for i in range(cols)],
+            index=np.arange(rows),
+        )
+        self._style_apply()
+
+    def time_apply(self, cols, rows):
+        self._style_apply()
+
+    def time_render(self, cols, rows):
+        self.st.render()
+
+    def peakmem_apply(self, cols, rows):
+        self._style_apply()
+
+    def peakmem_render(self, cols, rows):
+        self.st.render()
+
+    def _style_apply(self):
+        def _apply_func(s):
+            a, b = [x for x in s]
+            return [
+                'color: red' if a > b else '',
+                'color: red' if a < b else '',
+            ]
+        self.st = self.df.style.apply(
+            _apply_func, axis=1, subset=['float_3', 'float_4']
+        )
+
+
+from ..pandas_vb_common import setup  # noqa: F401 isort:skip