CLN: 29547 replace old string formatting 4 (pandas-dev#31963)

Author: 3vts

pandas/tests/internals/test_internals.py

@@ -91,17 +91,15 @@ def create_block(typestr, placement, item_shape=None, num_offset=0):
     elif typestr in ("complex", "c16", "c8"):
         values = 1.0j * (mat.astype(typestr) + num_offset)
     elif typestr in ("object", "string", "O"):
-        values = np.reshape(
-            ["A{i:d}".format(i=i) for i in mat.ravel() + num_offset], shape
-        )
+        values = np.reshape([f"A{i:d}" for i in mat.ravel() + num_offset], shape)
     elif typestr in ("b", "bool"):
         values = np.ones(shape, dtype=np.bool_)
     elif typestr in ("datetime", "dt", "M8[ns]"):
         values = (mat * 1e9).astype("M8[ns]")
     elif typestr.startswith("M8[ns"):
         # datetime with tz
         m = re.search(r"M8\[ns,\s*(\w+\/?\w*)\]", typestr)
-        assert m is not None, "incompatible typestr -> {0}".format(typestr)
+        assert m is not None, f"incompatible typestr -> {typestr}"
         tz = m.groups()[0]
         assert num_items == 1, "must have only 1 num items for a tz-aware"
         values = DatetimeIndex(np.arange(N) * 1e9, tz=tz)
@@ -607,9 +605,9 @@ def test_interleave(self):
 
         # self
         for dtype in ["f8", "i8", "object", "bool", "complex", "M8[ns]", "m8[ns]"]:
-            mgr = create_mgr("a: {0}".format(dtype))
+            mgr = create_mgr(f"a: {dtype}")
             assert mgr.as_array().dtype == dtype
-            mgr = create_mgr("a: {0}; b: {0}".format(dtype))
+            mgr = create_mgr(f"a: {dtype}; b: {dtype}")
             assert mgr.as_array().dtype == dtype
 
         # will be converted according the actual dtype of the underlying
@@ -1136,7 +1134,7 @@ def __array__(self):
         return np.array(self.value, dtype=self.dtype)
 
     def __str__(self) -> str:
-        return "DummyElement({}, {})".format(self.value, self.dtype)
+        return f"DummyElement({self.value}, {self.dtype})"
 
     def __repr__(self) -> str:
         return str(self)

pandas/tests/io/excel/test_readers.py

@@ -596,7 +596,8 @@ def test_read_from_file_url(self, read_ext, datapath):
             # fails on some systems
             import platform
 
-            pytest.skip("failing on {}".format(" ".join(platform.uname()).strip()))
+            platform_info = " ".join(platform.uname()).strip()
+            pytest.skip(f"failing on {platform_info}")
 
         tm.assert_frame_equal(url_table, local_table)
 
@@ -957,7 +958,7 @@ def test_excel_passes_na_filter(self, read_ext, na_filter):
     def test_unexpected_kwargs_raises(self, read_ext, arg):
         # gh-17964
         kwarg = {arg: "Sheet1"}
-        msg = r"unexpected keyword argument `{}`".format(arg)
+        msg = fr"unexpected keyword argument `{arg}`"
 
         with pd.ExcelFile("test1" + read_ext) as excel:
             with pytest.raises(TypeError, match=msg):

pandas/tests/io/excel/test_style.py

@@ -45,10 +45,7 @@ def style(df):
     def assert_equal_style(cell1, cell2, engine):
         if engine in ["xlsxwriter", "openpyxl"]:
             pytest.xfail(
-                reason=(
-                    "GH25351: failing on some attribute "
-                    "comparisons in {}".format(engine)
-                )
+                reason=(f"GH25351: failing on some attribute comparisons in {engine}")
             )
         # XXX: should find a better way to check equality
         assert cell1.alignment.__dict__ == cell2.alignment.__dict__
@@ -108,7 +105,7 @@ def custom_converter(css):
         for col1, col2 in zip(wb["frame"].columns, wb["styled"].columns):
             assert len(col1) == len(col2)
             for cell1, cell2 in zip(col1, col2):
-                ref = "{cell2.column}{cell2.row:d}".format(cell2=cell2)
+                ref = f"{cell2.column}{cell2.row:d}"
                 # XXX: this isn't as strong a test as ideal; we should
                 #      confirm that differences are exclusive
                 if ref == "B2":
@@ -156,7 +153,7 @@ def custom_converter(css):
         for col1, col2 in zip(wb["frame"].columns, wb["custom"].columns):
             assert len(col1) == len(col2)
             for cell1, cell2 in zip(col1, col2):
-                ref = "{cell2.column}{cell2.row:d}".format(cell2=cell2)
+                ref = f"{cell2.column}{cell2.row:d}"
                 if ref in ("B2", "C3", "D4", "B5", "C6", "D7", "B8", "B9"):
                     assert not cell1.font.bold
                     assert cell2.font.bold

pandas/tests/io/excel/test_writers.py

@@ -41,7 +41,7 @@ def set_engine(engine, ext):
     which engine should be used to write Excel files. After executing
     the test it rolls back said change to the global option.
     """
-    option_name = "io.excel.{ext}.writer".format(ext=ext.strip("."))
+    option_name = f"io.excel.{ext.strip('.')}.writer"
     prev_engine = get_option(option_name)
     set_option(option_name, engine)
     yield
@@ -1206,15 +1206,15 @@ def test_path_path_lib(self, engine, ext):
         writer = partial(df.to_excel, engine=engine)
 
         reader = partial(pd.read_excel, index_col=0)
-        result = tm.round_trip_pathlib(writer, reader, path="foo.{ext}".format(ext=ext))
+        result = tm.round_trip_pathlib(writer, reader, path=f"foo.{ext}")
         tm.assert_frame_equal(result, df)
 
     def test_path_local_path(self, engine, ext):
         df = tm.makeDataFrame()
         writer = partial(df.to_excel, engine=engine)
 
         reader = partial(pd.read_excel, index_col=0)
-        result = tm.round_trip_pathlib(writer, reader, path="foo.{ext}".format(ext=ext))
+        result = tm.round_trip_pathlib(writer, reader, path=f"foo.{ext}")
         tm.assert_frame_equal(result, df)
 
     def test_merged_cell_custom_objects(self, merge_cells, path):

pandas/tests/io/excel/test_xlrd.py

@@ -37,7 +37,7 @@ def test_read_xlrd_book(read_ext, frame):
 
 # TODO: test for openpyxl as well
 def test_excel_table_sheet_by_index(datapath, read_ext):
-    path = datapath("io", "data", "excel", "test1{}".format(read_ext))
+    path = datapath("io", "data", "excel", f"test1{read_ext}")
     with pd.ExcelFile(path) as excel:
         with pytest.raises(xlrd.XLRDError):
             pd.read_excel(excel, "asdf")

pandas/tests/io/formats/test_console.py

@@ -34,8 +34,8 @@ def test_detect_console_encoding_from_stdout_stdin(monkeypatch, empty, filled):
     # they have values filled.
     # GH 21552
     with monkeypatch.context() as context:
-        context.setattr("sys.{}".format(empty), MockEncoding(""))
-        context.setattr("sys.{}".format(filled), MockEncoding(filled))
+        context.setattr(f"sys.{empty}", MockEncoding(""))
+        context.setattr(f"sys.{filled}", MockEncoding(filled))
         assert detect_console_encoding() == filled
 
 

pandas/tests/io/formats/test_to_html.py

@@ -300,7 +300,7 @@ def test_to_html_border(option, result, expected):
     else:
         with option_context("display.html.border", option):
             result = result(df)
-    expected = 'border="{}"'.format(expected)
+    expected = f'border="{expected}"'
     assert expected in result
 
 
@@ -318,7 +318,7 @@ def test_to_html(biggie_df_fixture):
     assert isinstance(s, str)
 
     df.to_html(columns=["B", "A"], col_space=17)
-    df.to_html(columns=["B", "A"], formatters={"A": lambda x: "{x:.1f}".format(x=x)})
+    df.to_html(columns=["B", "A"], formatters={"A": lambda x: f"{x:.1f}"})
 
     df.to_html(columns=["B", "A"], float_format=str)
     df.to_html(columns=["B", "A"], col_space=12, float_format=str)
@@ -745,7 +745,7 @@ def test_to_html_with_col_space_units(unit):
     if isinstance(unit, int):
         unit = str(unit) + "px"
     for h in hdrs:
-        expected = '<th style="min-width: {unit};">'.format(unit=unit)
+        expected = f'<th style="min-width: {unit};">'
         assert expected in h
 
 

pandas/tests/io/formats/test_to_latex.py

@@ -117,10 +117,10 @@ def test_to_latex_with_formatters(self):
 
         formatters = {
             "datetime64": lambda x: x.strftime("%Y-%m"),
-            "float": lambda x: "[{x: 4.1f}]".format(x=x),
-            "int": lambda x: "0x{x:x}".format(x=x),
-            "object": lambda x: "-{x!s}-".format(x=x),
-            "__index__": lambda x: "index: {x}".format(x=x),
+            "float": lambda x: f"[{x: 4.1f}]",
+            "int": lambda x: f"0x{x:x}",
+            "object": lambda x: f"-{x!s}-",
+            "__index__": lambda x: f"index: {x}",
         }
         result = df.to_latex(formatters=dict(formatters))
 
@@ -744,9 +744,7 @@ def test_to_latex_multiindex_names(self, name0, name1, axes):
 
         idx_names = tuple(n or "{}" for n in names)
         idx_names_row = (
-            "{idx_names[0]} & {idx_names[1]} &    &    &    &    \\\\\n".format(
-                idx_names=idx_names
-            )
+            f"{idx_names[0]} & {idx_names[1]} &    &    &    &    \\\\\n"
             if (0 in axes and any(names))
             else ""
         )

pandas/tests/io/generate_legacy_storage_files.py

@@ -323,17 +323,17 @@ def write_legacy_pickles(output_dir):
         "This script generates a storage file for the current arch, system, "
         "and python version"
     )
-    print("  pandas version: {0}".format(version))
-    print("  output dir    : {0}".format(output_dir))
+    print(f"  pandas version: {version}")
+    print(f"  output dir    : {output_dir}")
     print("  storage format: pickle")
 
-    pth = "{0}.pickle".format(platform_name())
+    pth = f"{platform_name()}.pickle"
 
     fh = open(os.path.join(output_dir, pth), "wb")
     pickle.dump(create_pickle_data(), fh, pickle.HIGHEST_PROTOCOL)
     fh.close()
 
-    print("created pickle file: {pth}".format(pth=pth))
+    print(f"created pickle file: {pth}")
 
 
 def write_legacy_file():