STYLE: fix pylint consider-using-f-string issues (#49515)

Refs #48855

Author: akx

asv_bench/benchmarks/io/hdf.py

@@ -43,7 +43,7 @@ def setup(self):
             np.random.randn(N, 100), index=date_range("1/1/2000", periods=N)
         )
         self.df_dc = DataFrame(
-            np.random.randn(N, 10), columns=["C%03d" % i for i in range(10)]
+            np.random.randn(N, 10), columns=[f"C{i:03d}" for i in range(10)]
         )
 
         self.fname = "__test__.h5"

doc/scripts/eval_performance.py

@@ -17,7 +17,7 @@ def bench_with(n, times=10, repeat=3, engine="numexpr"):
     return (
         np.array(
             timeit(
-                "df.eval(s, engine=%r)" % engine,
+                f"df.eval(s, engine={repr(engine)})",
                 setup=setup_common % (n, setup_with),
                 repeat=repeat,
                 number=times,
@@ -34,7 +34,7 @@ def bench_subset(n, times=20, repeat=3, engine="numexpr"):
     return (
         np.array(
             timeit(
-                "df.query(s, engine=%r)" % engine,
+                f"df.query(s, engine={repr(engine)})",
                 setup=setup_common % (n, setup_subset),
                 repeat=repeat,
                 number=times,
@@ -55,7 +55,7 @@ def bench(mn=3, mx=7, num=100, engines=("python", "numexpr"), verbose=False):
     for engine in engines:
         for i, n in enumerate(r):
             if verbose & (i % 10 == 0):
-                print("engine: %r, i == %d" % (engine, i))
+                print(f"engine: {repr(engine)}, i == {i:d}")
             ev_times = bench_with(n, times=1, repeat=1, engine=engine)
             ev.loc[i, engine] = np.mean(ev_times)
             qu_times = bench_subset(n, times=1, repeat=1, engine=engine)

pandas/_version.py

@@ -1,3 +1,4 @@
+# pylint: disable=consider-using-f-string
 # This file helps to compute a version number in source trees obtained from
 # git-archive tarball (such as those provided by GitHub's download-from-tag
 # feature). Distribution tarballs (built by setup.py sdist) and build

pandas/core/arraylike.py

@@ -304,8 +304,7 @@ def array_ufunc(self, ufunc: np.ufunc, method: str, *inputs: Any, **kwargs: Any)
             # well. Previously this raised an internal ValueError. We might
             # support it someday, so raise a NotImplementedError.
             raise NotImplementedError(
-                "Cannot apply ufunc {} to mixed DataFrame and Series "
-                "inputs.".format(ufunc)
+                f"Cannot apply ufunc {ufunc} to mixed DataFrame and Series inputs."
             )
         axes = self.axes
         for obj in alignable[1:]:

pandas/core/generic.py

@@ -3,7 +3,6 @@
 
 import collections
 from datetime import timedelta
-import functools
 import gc
 import json
 import operator
@@ -4596,7 +4595,7 @@ def add_prefix(self: NDFrameT, prefix: str, axis: Axis | None = None) -> NDFrame
         2       3       5
         3       4       6
         """
-        f = functools.partial("{prefix}{}".format, prefix=prefix)
+        f = lambda x: f"{prefix}{x}"
 
         axis_name = self._info_axis_name
         if axis is not None:
@@ -4670,7 +4669,7 @@ def add_suffix(self: NDFrameT, suffix: str, axis: Axis | None = None) -> NDFrame
         2       3       5
         3       4       6
         """
-        f = functools.partial("{}{suffix}".format, suffix=suffix)
+        f = lambda x: f"{x}{suffix}"
 
         axis_name = self._info_axis_name
         if axis is not None:

pandas/tests/config/test_config.py

@@ -227,6 +227,7 @@ def test_validation(self):
 
         validator = cf.is_one_of_factory([None, cf.is_callable])
         cf.register_option("b", lambda: None, "doc", validator=validator)
+        # pylint: disable-next=consider-using-f-string
         cf.set_option("b", "%.1f".format)  # Formatter is callable
         cf.set_option("b", None)  # Formatter is none (default)
         with pytest.raises(ValueError, match="Value must be a callable"):

pandas/tests/indexing/test_indexing.py

@@ -706,7 +706,7 @@ def run_tests(df, rhs, right_loc, right_iloc):
         # make frames multi-type & re-run tests
         for frame in [df, rhs, right_loc, right_iloc]:
             frame["joe"] = frame["joe"].astype("float64")
-            frame["jolie"] = frame["jolie"].map("@{}".format)
+            frame["jolie"] = frame["jolie"].map(lambda x: f"@{x}")
         right_iloc["joe"] = [1.0, "@-28", "@-20", "@-12", 17.0]
         right_iloc["jolie"] = ["@2", -26.0, -18.0, -10.0, "@18"]
         run_tests(df, rhs, right_loc, right_iloc)

pandas/tests/io/excel/test_openpyxl.py

@@ -256,7 +256,7 @@ def test_to_excel_with_openpyxl_engine(ext):
         df2 = DataFrame({"B": np.linspace(1, 20, 10)})
         df = pd.concat([df1, df2], axis=1)
         styled = df.style.applymap(
-            lambda val: "color: %s" % ("red" if val < 0 else "black")
+            lambda val: f"color: {'red' if val < 0 else 'black'}"
         ).highlight_max()
 
         styled.to_excel(filename, engine="openpyxl")

pandas/tests/io/formats/style/test_html.py

@@ -802,14 +802,15 @@ def test_rendered_links(type, text, exp, found):
         df = DataFrame([0], index=[text])
         styler = df.style.format_index(hyperlinks="html")
 
-    rendered = '<a href="{0}" target="_blank">{0}</a>'.format(found)
+    rendered = f'<a href="{found}" target="_blank">{found}</a>'
     result = styler.to_html()
     assert (rendered in result) is exp
     assert (text in result) is not exp  # test conversion done when expected and not
 
 
 def test_multiple_rendered_links():
     links = ("www.a.b", "http://a.c", "https://a.d", "ftp://a.e")
+    # pylint: disable-next=consider-using-f-string
     df = DataFrame(["text {} {} text {} {}".format(*links)])
     result = df.style.format(hyperlinks="html").to_html()
     href = '<a href="{0}" target="_blank">{0}</a>'

pandas/tests/io/formats/test_to_latex.py

@@ -1335,6 +1335,7 @@ def test_to_latex_multiindex_names(self, name0, name1, axes):
         placeholder = "{}" if any(names) and 1 in axes else " "
         col_names = [n if (bool(n) and 1 in axes) else placeholder for n in names]
         observed = df.to_latex()
+        # pylint: disable-next=consider-using-f-string
         expected = r"""\begin{tabular}{llrrrr}
 \toprule
   & %s & \multicolumn{2}{l}{1} & \multicolumn{2}{l}{2} \\