Do not modify arrays after np.asarray

This change ensures that input arrays are not modified and also
prevents us from trying write to numpy arrays that have been
write protected by pandas copy-on-write mechanism. Use np.array with
copy=True.

doc/changelog.rst

@@ -1,6 +1,21 @@
 Changelog
 =========
 
+v0.11.4
+-------
+*not-yet-released*
+
+Bug Fixes
+---------
+
+- Fixed :class:`~mizani.bounds.squish` and
+  :class:`~mizani.bounds.squish_infinite` so that they do not reuse
+  numpy arrays. The users object is not modified.
+
+  This also prevents exceptions where the numpy array backs a pandas
+  object and it is protected by copy-on-write.
+
+
 v0.11.3
 -------
 *2024-05-09*

mizani/bounds.py

@@ -239,7 +239,7 @@ def squish_infinite(
     >>> list(squish_infinite(arr2, (-10, 9)))
     [0.0, -10.0, 0.5, 0.25, 9.0]
     """
-    _x = np.asarray(x)
+    _x = np.array(x, copy=True)
     _x[np.isneginf(_x)] = range[0]
     _x[np.isposinf(_x)] = range[1]
     return _x
@@ -273,7 +273,7 @@ def squish(
     >>> list(squish([-np.inf, -1.5, 0.2, 0.8, 1.0, np.inf], only_finite=False))
     [0.0, 0.0, 0.2, 0.8, 1.0, 1.0]
     """
-    _x = np.asarray(x)
+    _x = np.array(x, copy=True)
     finite = np.isfinite(_x) if only_finite else True
     _x[np.logical_and(_x < range[0], finite)] = range[0]
     _x[np.logical_and(_x > range[1], finite)] = range[1]

mizani/utils.py

@@ -19,6 +19,7 @@
         DurationUnit,
         FloatArrayLike,
         FloatSeries,
+        NDArrayAny,
         NDArrayFloat,
         NullType,
         NumericUFunction,