Merge remote-tracking branch 'upstream/main' into cln/deps

Author: mroeschke

.pre-commit-config.yaml

@@ -19,7 +19,7 @@ ci:
     skip: [pyright, mypy]
 repos:
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.11.4
+    rev: v0.11.8
     hooks:
     -   id: ruff
         args: [--exit-non-zero-on-fix]
@@ -95,14 +95,14 @@ repos:
     - id: sphinx-lint
       args: ["--enable", "all", "--disable", "line-too-long"]
 -   repo: https://github.com/pre-commit/mirrors-clang-format
-    rev: v20.1.0
+    rev: v20.1.3
     hooks:
     - id: clang-format
       files: ^pandas/_libs/src|^pandas/_libs/include
       args: [-i]
       types_or: [c, c++]
 -   repo: https://github.com/trim21/pre-commit-mirror-meson
-    rev: v1.7.2
+    rev: v1.8.0
     hooks:
     - id: meson-fmt
       args: ['--inplace']

doc/source/_static/css/getting_started.css

@@ -249,13 +249,15 @@ ul.task-bullet > li > p:first-child {
 
 .tutorial-card .card-header {
   --bs-card-cap-color: var(--pst-color-text-base);
+  color: var(--pst-color-text-base);
   cursor: pointer;
   background-color: var(--pst-color-surface);
   border: 1px solid var(--pst-color-border)
 }
 
 .tutorial-card .card-body {
   background-color: var(--pst-color-on-background);
+  color: var(--pst-color-text-base);
 }
 
 .tutorial-card .badge {

doc/source/reference/arrays.rst

@@ -664,6 +664,7 @@ Data type introspection
     api.types.is_datetime64_dtype
     api.types.is_datetime64_ns_dtype
     api.types.is_datetime64tz_dtype
+    api.types.is_dtype_equal
     api.types.is_extension_array_dtype
     api.types.is_float_dtype
     api.types.is_int64_dtype

pandas/core/dtypes/common.py

@@ -655,24 +655,38 @@ def is_dtype_equal(source, target) -> bool:
 
     Parameters
     ----------
-    source : The first dtype to compare
-    target : The second dtype to compare
+    source : type or str
+        The first dtype to compare.
+    target : type or str
+        The second dtype to compare.
 
     Returns
     -------
     boolean
         Whether or not the two dtypes are equal.
 
+    See Also
+    --------
+    api.types.is_categorical_dtype : Check whether the provided array or dtype
+                                            is of the Categorical dtype.
+    api.types.is_string_dtype : Check whether the provided array or dtype
+                                       is of the string dtype.
+    api.types.is_object_dtype : Check whether an array-like or dtype is of the
+                                       object dtype.
+
     Examples
     --------
+    >>> from pandas.api.types import is_dtype_equal
     >>> is_dtype_equal(int, float)
     False
     >>> is_dtype_equal("int", int)
     True
     >>> is_dtype_equal(object, "category")
     False
+    >>> from pandas.core.dtypes.dtypes import CategoricalDtype
     >>> is_dtype_equal(CategoricalDtype(), "category")
     True
+    >>> from pandas.core.dtypes.dtypes import DatetimeTZDtype
     >>> is_dtype_equal(DatetimeTZDtype(tz="UTC"), "datetime64")
     False
     """