Merge remote-tracking branch 'upstream/maint/1.3.x' into maint/1.8.x

Author: effigies

.circleci/config.yml

@@ -287,7 +287,7 @@ jobs:
       - run:
           name: Validate version
           command: |
-            THISVERSION=$( pipx run hatch version )
+            THISVERSION=$( python3 get_version.py )
             python -m pip install dist/*.tar.gz
             mkdir empty
             cd empty
@@ -309,15 +309,6 @@ jobs:
           command: |
             pipx run build
             pipx run twine check dist/*
-      - run:
-          name: Validate version
-          command: |
-            THISVERSION=$( pipx run hatch version )
-            python -m pip install dist/*.tar.gz
-            mkdir empty
-            cd empty
-            INSTALLED=$( python -c 'import niworkflows; print(niworkflows.__version__)' )
-            test "${CIRCLE_TAG:-$THISVERSION}" == "$INSTALLED"
       - run:
           name: Upload to PyPi
           command: |

CHANGES.rst

@@ -434,6 +434,16 @@ A list of prominent changes can be found below. (With thanks to Lea Waller for t
     * ``NormalizeMotionParams`` now under ``confounds``.
     * ``FMRISummary``, ``CompCorVariancePlot``, ``ConfoundsCorrelationPlot`` from ``plotting``
 
+1.3.10 (September 16, 2023)
+===========================
+Bug-fix release in the 1.3.x series.
+
+Minor maintenance.
+
+* FIX: Compatibility with matplotlib 3.8.0 (#825)
+* FIX: Remove unused ANTs parameter that was removed in 2.4.1 (#772)
+* MNT: Create a requirements.txt to keep the LTS branch buildable (#798)
+
 1.3.9 (December 21, 2022)
 =========================
 Bug-fix release in the 1.3.x series.

niworkflows/viz/plots.py

@@ -839,8 +839,8 @@ def compcor_variance_plot(
         ax[m].set_yticks([])
         ax[m].set_yticklabels([])
         for tick in ax[m].xaxis.get_major_ticks():
-            tick.label.set_fontsize("x-small")
-            tick.label.set_rotation("vertical")
+            tick.label1.set_fontsize("x-small")
+            tick.label1.set_rotation("vertical")
         for side in ["top", "right", "left"]:
             ax[m].spines[side].set_color("none")
             ax[m].spines[side].set_visible(False)
@@ -935,9 +935,9 @@ def confounds_correlation_plot(
     ax0.tick_params(axis="both", which="both", width=0)
 
     for tick in ax0.xaxis.get_major_ticks():
-        tick.label.set_fontsize("small")
+        tick.label1.set_fontsize("small")
     for tick in ax0.yaxis.get_major_ticks():
-        tick.label.set_fontsize("small")
+        tick.label1.set_fontsize("small")
     sns.barplot(
         data=gscorr,
         x="index",
@@ -954,10 +954,10 @@ def confounds_correlation_plot(
     ax1.tick_params(axis="y", which="both", width=5, length=5)
 
     for tick in ax1.xaxis.get_major_ticks():
-        tick.label.set_fontsize("small")
-        tick.label.set_rotation("vertical")
+        tick.label1.set_fontsize("small")
+        tick.label1.set_rotation("vertical")
     for tick in ax1.yaxis.get_major_ticks():
-        tick.label.set_fontsize("small")
+        tick.label1.set_fontsize("small")
     for side in ["top", "right", "left"]:
         ax1.spines[side].set_color("none")
         ax1.spines[side].set_visible(False)

niworkflows/viz/utils.py

@@ -699,8 +699,8 @@ def plot_melodic_components(
         ax2.tick_params(axis="both", which="major", pad=0)
         sns.despine(left=True, bottom=True)
         for tick in ax2.xaxis.get_major_ticks():
-            tick.label.set_fontsize(6)
-            tick.label.set_color(color_time)
+            tick.label1.set_fontsize(6)
+            tick.label1.set_color(color_time)
 
         ax3.plot(
             f[0:],
@@ -713,8 +713,8 @@ def plot_melodic_components(
         ax3.autoscale_view("tight")
         ax3.tick_params(axis="both", which="major", pad=0)
         for tick in ax3.xaxis.get_major_ticks():
-            tick.label.set_fontsize(6)
-            tick.label.set_color(color_power)
+            tick.label1.set_fontsize(6)
+            tick.label1.set_color(color_power)
         sns.despine(left=True, bottom=True)
 
     plt.subplots_adjust(hspace=0.5)