OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-matplotlib?expand=0&rev=64

matplotlib-pr22975-fixarray.patch

@@ -1,60 +0,0 @@
-From 29ce2c226aafc170cb9b874e81b158c832322cf7 Mon Sep 17 00:00:00 2001
-From: Jody Klymak <jklymak@gmail.com>
-Date: Thu, 5 May 2022 04:38:49 +0000
-Subject: [PATCH] FIX: fix check_1d to also check for ndim
-
-Arrays sometimes don't have all the methods arrays should have, so
-add another check here.  Plot requires both ndim and shape and this
-will extract the numpy array if x does not have those attributes.
-Otherwise leave the object alone, because unit support (currently only
-in plot) requires the object to retain the unit info.
----
- lib/matplotlib/cbook/__init__.py   |  7 ++++++-
- lib/matplotlib/tests/test_units.py | 19 +++++++++++++++++++
- 2 files changed, 25 insertions(+), 1 deletion(-)
-
-diff --git a/lib/matplotlib/cbook/__init__.py b/lib/matplotlib/cbook/__init__.py
-index 774643fc9c99..5a955ed459c5 100644
---- a/lib/matplotlib/cbook/__init__.py
-+++ b/lib/matplotlib/cbook/__init__.py
-@@ -1333,7 +1333,12 @@ def _check_1d(x):
-     """Convert scalars to 1D arrays; pass-through arrays as is."""
-     # Unpack in case of e.g. Pandas or xarray object
-     x = _unpack_to_numpy(x)
--    if not hasattr(x, 'shape') or len(x.shape) < 1:
-+    # plot requires `shape` and `ndim`.  If passed an
-+    # object that doesn't provide them, then force to numpy array.
-+    # Note this will strip unit information.
-+    if (not hasattr(x, 'shape') or
-+            not hasattr(x, 'ndim') or
-+            len(x.shape) < 1):
-         return np.atleast_1d(x)
-     else:
-         return x
-diff --git a/lib/matplotlib/tests/test_units.py b/lib/matplotlib/tests/test_units.py
-index 93a12cebb2c8..d3b8c5a71643 100644
---- a/lib/matplotlib/tests/test_units.py
-+++ b/lib/matplotlib/tests/test_units.py
-@@ -264,3 +264,22 @@ def test_empty_default_limits(quantity_converter):
-     fig.draw_without_rendering()
-     assert ax.get_ylim() == (0, 100)
-     assert ax.get_xlim() == (28.5, 31.5)
-+
-+
-+# test array-like objects...
-+class Kernel:
-+    def __init__(self, array):
-+        self._array = np.asanyarray(array)
-+
-+    def __array__(self):
-+        return self._array
-+
-+    @property
-+    def shape(self):
-+        return self._array.shape
-+
-+
-+def test_plot_kernel():
-+    # just a smoketest that fail
-+    kernel = Kernel([1, 2, 3, 4, 5])
-+    plt.plot(kernel)