fix: compatibility with matplotlib 3.6

.github/workflows/CI.yml

@@ -53,15 +53,15 @@ jobs:
       run: |
         python -m pip install .[pyhf_backends]  # install pyhf backends
     - name: Test with pytest and generate coverage report
-      if: matrix.python-version == '3.7'
+      if: matrix.python-version == '3.8'
       run: |
         pytest --runslow --cov-report=xml
     - name: Test with pytest
-      if: matrix.python-version != '3.7'
+      if: matrix.python-version != '3.8'
       run: |
         pytest --runslow
     - name: Upload coverage to codecov
-      if: matrix.python-version == '3.7'
+      if: matrix.python-version == '3.8'
       uses: codecov/codecov-action@v3
       with:
         token: ${{ secrets.CODECOV_TOKEN }}

pyproject.toml

@@ -43,5 +43,6 @@ module = [
     "iminuit",
     "jsonschema",
     "scipy.*",
+    "packaging.*",
 ]
 ignore_missing_imports = true

setup.cfg

@@ -23,7 +23,7 @@ packages = find:
 package_dir = =src
 python_requires = >=3.7
 install_requires =
-    pyhf[minuit]~=0.7.0rc4  # model.config.suggested_fixed API change, staterror fix, set_poi(None)
+    pyhf[minuit]==0.7.0rc4  # model.config.suggested_fixed API change, staterror fix, set_poi(None)
     boost_histogram>=1.0.0  # subclassing with family, 1.02 for stdev scaling fix (currently not needed)
     awkward>=1.8  # _v2 API in submodule
     tabulate>=0.8.1  # multiline text
@@ -36,6 +36,7 @@ install_requires =
     jsonschema
     click
     scipy
+    packaging  # for version parsing
 
 [options.packages.find]
 where = src

setup.py

@@ -24,7 +24,7 @@
 extras_require["pyhf_backends"] = ["pyhf[backends]"]
 extras_require["docs"] = sorted(
     {
-        "sphinx",
+        "sphinx!=5.2.0.post0",  # broken due to version parsing in RTD theme
         "sphinx-click",
         "sphinx-copybutton",
         "sphinx-jsonschema",

src/cabinetry/visualize/plot_model.py

@@ -7,12 +7,19 @@
 import matplotlib as mpl
 import matplotlib.pyplot as plt
 import numpy as np
+import packaging.version
 
 from cabinetry.visualize import utils
 
 
 log = logging.getLogger(__name__)
 
+# handling of matplotlib<3.6 (for Python 3.7)
+if packaging.version.parse(mpl.__version__) < packaging.version.parse("3.6"):
+    MPL_STYLE = "seaborn-colorblind"  # pragma: no cover
+else:
+    MPL_STYLE = "seaborn-v0_8-colorblind"
+
 
 def data_mc(
     histogram_dict_list: List[Dict[str, Any]],
@@ -59,9 +66,9 @@ def data_mc(
             mc_histograms_yields.append(h["yields"])
             mc_labels.append(h["label"])
 
-    mpl.style.use("seaborn-colorblind")
+    mpl.style.use(MPL_STYLE)
 
-    fig = plt.figure(figsize=(6, 6))
+    fig = plt.figure(figsize=(6, 6), layout="constrained")
     gs = fig.add_gridspec(nrows=2, ncols=1, hspace=0, height_ratios=[3, 1])
     ax1 = fig.add_subplot(gs[0])
     ax2 = fig.add_subplot(gs[1])
@@ -223,8 +230,6 @@ def data_mc(
     ax2.tick_params(axis="both", which="major", pad=8)
     ax2.tick_params(direction="in", top=True, right=True, which="both")
 
-    fig.set_tight_layout(True)
-
     utils._save_and_close(fig, figure_path, close_figure)
     return fig
 
@@ -267,8 +272,8 @@ def templates(
     bin_width = bin_edges[1:] - bin_edges[:-1]
     bin_centers = 0.5 * (bin_edges[:-1] + bin_edges[1:])
 
-    mpl.style.use("seaborn-colorblind")
-    fig = plt.figure(figsize=(8, 6))
+    mpl.style.use(MPL_STYLE)
+    fig = plt.figure(figsize=(8, 6), layout="constrained")
     gs = fig.add_gridspec(nrows=2, ncols=1, hspace=0, height_ratios=[3, 1])
     ax1 = fig.add_subplot(gs[0])
     ax2 = fig.add_subplot(gs[1])
@@ -396,8 +401,6 @@ def templates(
     ax2.tick_params(axis="both", which="major", pad=8)
     ax2.tick_params(direction="in", top=True, right=True, which="both")
 
-    fig.set_tight_layout(True)
-
     utils._save_and_close(fig, figure_path, close_figure)
     return fig
 
@@ -446,8 +449,8 @@ def modifier_grid(
     fig, ax = plt.subplots(
         len(axis_labels[0]),
         sharex=True,
-        constrained_layout=True,
         figsize=(fig_width, fig_height),
+        layout="constrained",
         squeeze=False,  # always return array of axes (even with a single subplot)
     )
     ax = ax.flatten()  # turn into 1d array

src/cabinetry/visualize/plot_result.py

@@ -8,12 +8,21 @@
 import matplotlib as mpl
 import matplotlib.pyplot as plt
 import numpy as np
+import packaging.version
 
 from cabinetry.visualize import utils
 
 
 log = logging.getLogger(__name__)
 
+# handling of matplotlib<3.6 (for Python 3.7)
+if packaging.version.parse(mpl.__version__) < packaging.version.parse("3.6"):
+    MPL_GEQ_36 = False  # pragma: no cover
+    MPL_STYLE = "seaborn-colorblind"  # pragma: no cover
+else:
+    MPL_GEQ_36 = True
+    MPL_STYLE = "seaborn-v0_8-colorblind"
+
 
 def correlation_matrix(
     corr_mat: np.ndarray,
@@ -41,6 +50,7 @@ def correlation_matrix(
     fig, ax = plt.subplots(
         figsize=(round(5 + len(labels) / 1.6, 1), round(3 + len(labels) / 1.6, 1)),
         dpi=100,
+        layout="constrained",
     )
     im = ax.imshow(corr_mat, vmin=-1, vmax=1, cmap="RdBu")
 
@@ -54,7 +64,6 @@ def correlation_matrix(
 
     fig.colorbar(im, ax=ax)
     ax.set_aspect("auto")  # to get colorbar aligned with matrix
-    fig.set_tight_layout(True)
 
     # add correlation as text
     for (j, i), corr in np.ndenumerate(corr_mat):
@@ -91,7 +100,7 @@ def pulls(
     """
     num_pars = len(bestfit)
     y_positions = np.arange(num_pars)[::-1]
-    fig, ax = plt.subplots(figsize=(6, 1 + num_pars / 4), dpi=100)
+    fig, ax = plt.subplots(figsize=(6, 1 + num_pars / 4), dpi=100, layout="constrained")
     ax.errorbar(bestfit, y_positions, xerr=uncertainty, fmt="o", color="black")
 
     ax.fill_between([-2, 2], -0.5, len(bestfit) - 0.5, color="yellow")
@@ -106,7 +115,6 @@ def pulls(
     ax.xaxis.set_minor_locator(mpl.ticker.AutoMinorLocator())  # minor ticks
     ax.tick_params(axis="both", which="major", pad=8)
     ax.tick_params(direction="in", top=True, right=True, which="both")
-    fig.set_tight_layout(True)
 
     utils._save_and_close(fig, figure_path, close_figure)
     return fig
@@ -147,8 +155,21 @@ def ranking(
     """
     num_pars = len(bestfit)
 
-    mpl.style.use("seaborn-colorblind")
-    fig, ax_pulls = plt.subplots(figsize=(8, 2.5 + num_pars * 0.45), dpi=100)
+    # layout to make space for legend on top
+    leg_space = 1.0 / (num_pars + 3) + 0.03
+    if MPL_GEQ_36:
+        import matplotlib.layout_engine
+
+        layout = matplotlib.layout_engine.ConstrainedLayoutEngine(
+            rect=[0, 0, 1.0, 1 - leg_space]
+        )
+    else:
+        layout = None  # pragma: no cover  # layout set after figure creation instead
+
+    mpl.style.use(MPL_STYLE)
+    fig, ax_pulls = plt.subplots(
+        figsize=(8, 2.5 + num_pars * 0.45), dpi=100, layout=layout
+    )
     ax_impact = ax_pulls.twiny()  # second x-axis with shared y-axis, used for pulls
 
     # since pull axis is below impact axis, flip them so pulls show up on top
@@ -228,9 +249,9 @@ def ranking(
         ncol=3,
         fontsize="large",
     )
-    leg_space = 1.0 / (num_pars + 3) + 0.03
-    # there might be a way to use set_tight_layout here as well with a bounding box
-    fig.tight_layout(rect=[0, 0, 1.0, 1 - leg_space])  # make space for legend on top
+
+    if not MPL_GEQ_36:
+        fig.tight_layout(rect=[0, 0, 1.0, 1 - leg_space])  # pragma: no cover
 
     utils._save_and_close(fig, figure_path, close_figure)
     return fig
@@ -263,8 +284,8 @@ def scan(
     Returns:
         matplotlib.figure.Figure: the likelihood scan figure
     """
-    mpl.style.use("seaborn-colorblind")
-    fig, ax = plt.subplots()
+    mpl.style.use(MPL_STYLE)
+    fig, ax = plt.subplots(layout="constrained")
 
     y_lim = max(par_nlls) * 1.2  # upper y-axis limit, 20% headroom
 
@@ -308,8 +329,6 @@ def scan(
 
     ax.legend(frameon=False, fontsize="large")
 
-    fig.set_tight_layout(True)
-
     utils._save_and_close(fig, figure_path, close_figure)
     return fig
 
@@ -339,7 +358,7 @@ def limit(
     Returns:
         matplotlib.figure.Figure: the CLs figure
     """
-    fig, ax = plt.subplots()
+    fig, ax = plt.subplots(layout="constrained")
 
     xmin = min(poi_values)
     xmax = max(poi_values)
@@ -403,7 +422,5 @@ def limit(
     ax.tick_params(axis="both", which="major", pad=8)
     ax.tick_params(direction="in", top=True, right=True, which="both")
 
-    fig.set_tight_layout(True)
-
     utils._save_and_close(fig, figure_path, close_figure)
     return fig

tests/visualize/test_visualize_plot_model.py

@@ -123,9 +123,7 @@ def test_data_mc(tmp_path, caplog):
     caplog.clear()
 
     # expect three RuntimeWarnings from numpy due to division by zero
-    assert len(warn_record) == 3
-    for i in range(3):
-        assert "divide by zero" in str(warn_record[i].message)
+    assert sum("divide by zero" in str(m.message) for m in warn_record) == 3
 
     plt.close("all")
 
@@ -170,7 +168,6 @@ def test_templates(tmp_path):
 
     # compare figure returned by function
     fname = tmp_path / "fig_from_return.png"
-    fig.set_tight_layout(False)  # https://github.com/matplotlib/matplotlib/issues/21742
     fig.savefig(fname)
     assert (
         compare_images("tests/visualize/reference/templates.png", str(fname), 0) is None
@@ -223,7 +220,7 @@ def test_modifier_grid(tmp_path):
     )
     # non-zero tolerance as layout changes very slightly in CI
     assert (
-        compare_images("tests/visualize/reference/modifier_grid.png", str(fname), 15)
+        compare_images("tests/visualize/reference/modifier_grid.png", str(fname), 16)
         is None
     )
 
@@ -241,7 +238,7 @@ def test_modifier_grid(tmp_path):
     fname = tmp_path / "fig_from_return.png"
     fig.savefig(fname)
     assert (
-        compare_images("tests/visualize/reference/modifier_grid.png", str(fname), 15)
+        compare_images("tests/visualize/reference/modifier_grid.png", str(fname), 16)
         is None
     )
 

tests/visualize/test_visualize_plot_result.py

@@ -23,6 +23,13 @@ def test_correlation_matrix(tmp_path):
 
     # compare figure returned by function
     fname = tmp_path / "fig_from_return.png"
+
+    # adjust layout behavior, see https://github.com/matplotlib/matplotlib/issues/21742
+    if plot_result.MPL_GEQ_36:
+        fig.set_layout_engine(None)
+    else:
+        fig.set_constrained_layout(False)
+
     fig.savefig(fname)
     assert (
         compare_images(
@@ -125,7 +132,6 @@ def test_scan(tmp_path):
 
     # compare figure returned by function
     fname = tmp_path / "fig_from_return.png"
-    fig.set_tight_layout(False)  # https://github.com/matplotlib/matplotlib/issues/21742
     fig.savefig(fname)
     assert compare_images("tests/visualize/reference/scan.png", str(fname), 0) is None