Support latest python and matplotlib versions

.github/workflows/check.yml

@@ -11,7 +11,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.10', '3.11']
+        python-version: ['3.11', '3.12', '3.13']
         os: [macos-latest, ubuntu-latest, windows-latest]
     env:
       # Display must be available globally for linux to know where xvfb is
@@ -53,6 +53,7 @@ jobs:
       env:
         # github token required for testing update.py
         GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        COVERAGE_CORE: sysmon  # for py>=3.12 this is much faster
       run: |
         coverage run --source=pyjibe -m pytest -x tests
     - name: Lint with flake8

.gitignore

@@ -107,4 +107,7 @@ _version_save.py
 
 .idea
 
-pyjibe/_version.py
+pyjibe/_version.py
+
+# uv
+uv.lock

CHANGELOG

@@ -1,3 +1,6 @@
+0.16.4
+ - setup: support latest python versions (#32, #46)
+ - setup: support latest matplotlib versions (#32, #46)
 0.16.3
  - setup: bump afmformats to 0.18.6
  - setup: bump nanite to 4.2.3

pyjibe/fd/mpl_indent.py

@@ -104,13 +104,27 @@ def update(self, fdist, rescale_x=None, rescale_y=None):
             self.plots["residuals"].set_data(fdist["tip position"]*xscale,
                                              (fdist["fit residuals"])*yscale)
             # fit range
-            xy = self.plots["fit range"].get_xy()
             fitrange = (fdist[xaxis]*xscale)[fdist["fit range"]]
             fitmin = np.min(fitrange)
             fitmax = np.max(fitrange)
-            xy[:, 0] = fitmax
-            xy[2:4, 0] = fitmin
-            self.plots["fit range"].set_xy(xy)
+            fr_patch = self.plots["fit range"]
+            # Matplotlib changed `Axes.axvspan` from returning a
+            # Polygon (3.7.x) to returning a Rectangle (>=3.8).
+            if hasattr(fr_patch, "set_x") and hasattr(fr_patch, "set_width"):
+                fr_patch.set_x(fitmin)
+                fr_patch.set_width(fitmax - fitmin)
+            else:
+                xy = np.asarray(fr_patch.get_xy(), dtype=float).copy()
+                if xy.ndim == 2 and xy.shape[1] == 2 and xy.shape[0] >= 4:
+                    # Expected vertex order:
+                    # (xmin,0),(xmin,1),(xmax,1),(xmax,0),...
+                    xy[0, 0] = fitmin
+                    xy[1, 0] = fitmin
+                    xy[2, 0] = fitmax
+                    xy[3, 0] = fitmax
+                    if xy.shape[0] >= 5:
+                        xy[4, 0] = fitmin
+                fr_patch.set_xy(xy)
 
             self.update_plot(rescale_x=rescale_x,
                              rescale_y=rescale_y)

pyproject.toml

@@ -30,8 +30,7 @@ license = { text = "GPL version 3.0 or later" }
 dependencies = [
     "afmformats>=0.18.6",
     "nanite>=4.2.3",
-    # https://github.com/AFM-analysis/PyJibe/issues/32
-    "matplotlib>=3,<3.7.5", # NavigationToolbar2QT mod
+    "matplotlib>=3,<4",
     "packaging", # for version checking during update
     "pyqt6",
 ]
@@ -51,4 +50,4 @@ packages = ["pyjibe"]
 
 [tool.setuptools_scm]
 write_to = "pyjibe/_version.py"
-version_scheme = "post-release"
+version_scheme = "post-release"