MNT: drop now unneeded _mpl_imports module

.coveragerc

@@ -12,6 +12,5 @@ omit=*.yml
 	 yt/mods.py
 	 yt/utilities/fits_image.py
 	 yt/utilities/lodgeit.py
-	 yt/visualization/_mpl_imports.py
 
 ignore_errors = True

pyproject.toml

@@ -279,7 +279,6 @@ exclude = [
     "*/__config__.py",
     "yt/units",
     "yt/frontends/stream/sample_data",
-    "yt/visualization/_mpl_imports.py",
     "yt/utilities/fits_image.py",
     "yt/utilities/lodgeit.py",
     "yt/mods.py",

yt/data_objects/tests/test_projection.py

@@ -25,7 +25,7 @@ def teardown_func(fns):
             pass
 
 
-@mock.patch("yt.visualization._mpl_imports.FigureCanvasAgg.print_figure")
+@mock.patch("matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure")
 def test_projection(pf):
     fns = []
     for nprocs in [8, 1]:

yt/data_objects/tests/test_slice.py

@@ -23,7 +23,7 @@ def teardown_func(fns):
             pass
 
 
-@mock.patch("yt.visualization._mpl_imports.FigureCanvasAgg.print_figure")
+@mock.patch("matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure")
 def test_slice(pf):
     fns = []
     grid_eps = np.finfo(np.float64).eps

yt/frontends/fits/misc.py

@@ -276,7 +276,7 @@ def save(self, name=None, mpl_kwargs=None):
         self.pw.save(name=name, mpl_kwargs=mpl_kwargs)
 
     def _repr_html_(self):
-        from yt.visualization._mpl_imports import FigureCanvasAgg
+        from matplotlib.backends.backend_agg import FigureCanvasAgg
 
         ret = ""
         for v in self.plots.values():

yt/visualization/_commons.py

@@ -23,7 +23,7 @@
     from yt._maintenance.backports import zip
 
 if TYPE_CHECKING:
-    from ._mpl_imports import FigureCanvasBase
+    from matplotlib.backend_bases import FigureCanvasBase
 
 
 MPL_VERSION = Version(version("matplotlib"))
@@ -39,18 +39,16 @@
 
 
 def _get_supported_image_file_formats():
-    from ._mpl_imports import FigureCanvasBase
+    from matplotlib.backend_bases import FigureCanvasBase
 
     return frozenset(FigureCanvasBase.get_supported_filetypes().keys())
 
 
 def _get_supported_canvas_classes():
-    from ._mpl_imports import (
-        FigureCanvasAgg,
-        FigureCanvasPdf,
-        FigureCanvasPS,
-        FigureCanvasSVG,
-    )
+    from matplotlib.backends.backend_agg import FigureCanvasAgg
+    from matplotlib.backends.backend_pdf import FigureCanvasPdf
+    from matplotlib.backends.backend_ps import FigureCanvasPS
+    from matplotlib.backends.backend_svg import FigureCanvasSVG
 
     return frozenset(
         (FigureCanvasAgg, FigureCanvasPdf, FigureCanvasPS, FigureCanvasSVG)

yt/visualization/base_plot_types.py

@@ -202,7 +202,7 @@ def _set_font_properties(self, font_properties, font_color):
                 label.set_color(font_color)
 
     def _repr_png_(self):
-        from ._mpl_imports import FigureCanvasAgg
+        from matplotlib.backends.backend_agg import FigureCanvasAgg
 
         canvas = FigureCanvasAgg(self.figure)
         f = BytesIO()
@@ -593,6 +593,7 @@ def get_multi_plot(nx, ny, colorbar="vertical", bw=4, dpi=300, cbar_padding=0.4)
     complicated or more specific sets of multiplots for your own purposes.
     """
     import matplotlib.figure
+    from matplotlib.backends.backend_agg import FigureCanvasAgg
 
     hf, wf = 1.0 / ny, 1.0 / nx
     fudge_x = fudge_y = 1.0
@@ -605,7 +606,6 @@ def get_multi_plot(nx, ny, colorbar="vertical", bw=4, dpi=300, cbar_padding=0.4)
         fudge_x = 1.0
         fudge_y = ny / (cbar_padding + ny)
     fig = matplotlib.figure.Figure((bw * nx / fudge_x, bw * ny / fudge_y), dpi=dpi)
-    from ._mpl_imports import FigureCanvasAgg
 
     fig.set_canvas(FigureCanvasAgg(fig))
     fig.subplots_adjust(

yt/visualization/eps_writer.py

@@ -597,7 +597,7 @@ def insert_image_yt(self, plot, field=None, pos=(0, 0), scale=1.0):
         For best results, set use_colorbar=False when creating the yt
         image.
         """
-        from ._mpl_imports import FigureCanvasAgg
+        from matplotlib.backends.backend_agg import FigureCanvasAgg
 
         # We need to remove the colorbar (if necessary), remove the
         # axes, and resize the figure to span the entire figure

yt/visualization/tests/test_particle_plot.py

@@ -268,11 +268,11 @@ def test_particle_phase_plot(self):
         particle_phases[0]._repr_html_()
 
         with mock.patch(
-            "yt.visualization._mpl_imports.FigureCanvasAgg.print_figure"
+            "matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure"
         ), mock.patch(
-            "yt.visualization._mpl_imports.FigureCanvasPdf.print_figure"
+            "matplotlib.backends.backend_pdf.FigureCanvasPdf.print_figure"
         ), mock.patch(
-            "yt.visualization._mpl_imports.FigureCanvasPS.print_figure"
+            "matplotlib.backends.backend_ps.FigureCanvasPS.print_figure"
         ):
             for p in particle_phases:
                 for fname in TEST_FLNMS:
@@ -385,11 +385,11 @@ def test_particle_plot(self):
             ]
         particle_projs[0]._repr_html_()
         with mock.patch(
-            "yt.visualization._mpl_imports.FigureCanvasAgg.print_figure"
+            "matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure"
         ), mock.patch(
-            "yt.visualization._mpl_imports.FigureCanvasPdf.print_figure"
+            "matplotlib.backends.backend_pdf.FigureCanvasPdf.print_figure"
         ), mock.patch(
-            "yt.visualization._mpl_imports.FigureCanvasPS.print_figure"
+            "matplotlib.backends.backend_ps.FigureCanvasPS.print_figure"
         ):
             for p in particle_projs:
                 for fname in TEST_FLNMS:
@@ -403,7 +403,7 @@ def test_particle_plot_ds(self):
                 test_ds, dim, ("all", "particle_mass"), data_source=ds_region
             )
             with mock.patch(
-                "yt.visualization._mpl_imports.FigureCanvasAgg.print_figure"
+                "matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure"
             ):
                 pplot_ds.save()
 
@@ -415,7 +415,7 @@ def test_particle_plot_c(self):
                     test_ds, dim, ("all", "particle_mass"), center=center
                 )
                 with mock.patch(
-                    "yt.visualization._mpl_imports.FigureCanvasAgg.print_figure"
+                    "matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure"
                 ):
                     pplot_c.save()
 
@@ -427,7 +427,7 @@ def test_particle_plot_wf(self):
                     test_ds, dim, ("all", "particle_mass"), weight_field=weight_field
                 )
                 with mock.patch(
-                    "yt.visualization._mpl_imports.FigureCanvasAgg.print_figure"
+                    "matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure"
                 ):
                     pplot_wf.save()
 
@@ -445,7 +445,7 @@ def test_particle_plot_offaxis(self):
                     weight_field=weight_field,
                 )
                 with mock.patch(
-                    "yt.visualization._mpl_imports.FigureCanvasAgg.print_figure"
+                    "matplotlib.backends.backend_agg.FigureCanvasAgg.print_figure"
                 ):
                     pplot_off.save()
 

yt/visualization/volume_rendering/transfer_function_helper.py

@@ -143,10 +143,9 @@ def plot(self, fn=None, profile_field=None, profile_weight=None):
         If fn is None, will return an image to an IPython notebook.
 
         """
+        from matplotlib.backends.backend_agg import FigureCanvasAgg
         from matplotlib.figure import Figure
 
-        from yt.visualization._mpl_imports import FigureCanvasAgg
-
         if self.tf is None:
             self.build_transfer_function()
             self.setup_default()