STYLE: fix pylint no-else-continue warnings (pandas-dev#49464)

Author: Moisan

doc/source/conf.py

@@ -105,7 +105,7 @@
 
                 if fname == "index.rst" and os.path.abspath(dirname) == source_path:
                     continue
-                elif pattern == "-api" and reldir.startswith("reference"):
+                if pattern == "-api" and reldir.startswith("reference"):
                     exclude_patterns.append(fname)
                 elif (
                     pattern == "whatsnew"

pandas/core/indexes/multi.py

@@ -3049,10 +3049,10 @@ def maybe_mi_droplevels(indexer, levels):
                             ):
                                 # everything
                                 continue
-                            else:
-                                # e.g. test_xs_IndexSlice_argument_not_implemented
-                                k_index = np.zeros(len(self), dtype=bool)
-                                k_index[loc_level] = True
+
+                            # e.g. test_xs_IndexSlice_argument_not_implemented
+                            k_index = np.zeros(len(self), dtype=bool)
+                            k_index[loc_level] = True
 
                         else:
                             k_index = loc_level

pandas/core/reshape/merge.py

@@ -1290,7 +1290,7 @@ def _maybe_coerce_merge_keys(self) -> None:
                     continue
 
                 # check whether ints and floats
-                elif is_integer_dtype(rk.dtype) and is_float_dtype(lk.dtype):
+                if is_integer_dtype(rk.dtype) and is_float_dtype(lk.dtype):
                     # GH 47391 numpy > 1.24 will raise a RuntimeError for nan -> int
                     with np.errstate(invalid="ignore"):
                         # error: Argument 1 to "astype" of "ndarray" has incompatible
@@ -1312,7 +1312,7 @@ def _maybe_coerce_merge_keys(self) -> None:
                             )
                     continue
 
-                elif is_float_dtype(rk.dtype) and is_integer_dtype(lk.dtype):
+                if is_float_dtype(rk.dtype) and is_integer_dtype(lk.dtype):
                     # GH 47391 numpy > 1.24 will raise a RuntimeError for nan -> int
                     with np.errstate(invalid="ignore"):
                         # error: Argument 1 to "astype" of "ndarray" has incompatible
@@ -1335,7 +1335,7 @@ def _maybe_coerce_merge_keys(self) -> None:
                     continue
 
                 # let's infer and see if we are ok
-                elif lib.infer_dtype(lk, skipna=False) == lib.infer_dtype(
+                if lib.infer_dtype(lk, skipna=False) == lib.infer_dtype(
                     rk, skipna=False
                 ):
                     continue

pandas/io/formats/style_render.py

@@ -399,11 +399,11 @@ def _translate_header(self, sparsify_cols: bool, max_cols: int):
         for r, hide in enumerate(self.hide_columns_):
             if hide or not clabels:
                 continue
-            else:
-                header_row = self._generate_col_header_row(
-                    (r, clabels), max_cols, col_lengths
-                )
-                head.append(header_row)
+
+            header_row = self._generate_col_header_row(
+                (r, clabels), max_cols, col_lengths
+            )
+            head.append(header_row)
 
         # 2) index names
         if (

pandas/io/json/_normalize.py

@@ -112,9 +112,9 @@ def nested_to_record(
                     v = new_d.pop(k)
                     new_d[newkey] = v
                 continue
-            else:
-                v = new_d.pop(k)
-                new_d.update(nested_to_record(v, newkey, sep, level + 1, max_level))
+
+            v = new_d.pop(k)
+            new_d.update(nested_to_record(v, newkey, sep, level + 1, max_level))
         new_ds.append(new_d)
 
     if singleton:

pandas/tests/io/parser/common/test_common_basic.py

@@ -661,8 +661,8 @@ def test_read_table_same_signature_as_read_csv(all_parsers):
             assert table_param.annotation == csv_param.annotation
             assert table_param.kind == csv_param.kind
             continue
-        else:
-            assert table_param == csv_param
+
+        assert table_param == csv_param
 
 
 def test_read_table_equivalency_to_read_csv(all_parsers):

pyproject.toml

@@ -113,7 +113,6 @@ disable = [
   "cyclic-import",
   "duplicate-code",
   "inconsistent-return-statements",
-  "no-else-continue",
   "no-else-raise",
   "no-else-return",
   "redefined-argument-from-local",