Clean out old styling code

MANIFEST.in

@@ -1,6 +1,5 @@
 include LICENSE
 include README.md
-recursive-include * *.mplstyle
 
 recursive-exclude * __pycache__
 recursive-exclude * *.py[co]

docs/user_guide.rst

@@ -40,11 +40,6 @@ To use these:
 
 Customising plots
 -----------------
-`Matplotlib style sheets <https://matplotlib.org/stable/tutorials/introductory/customizing.html#defining-your-own-style>`__ can be used to customise
-the plots generated by ``napari-matplotlib``.
-To use a custom style sheet:
-
-1. Save it as ``napari-matplotlib.mplstyle``
-2. Put it in the Matplotlib configuration directory.
-   The location of this directory varies on different computers,
-   and can be found by calling :func:`matplotlib.get_configdir()`.
+``napari-matplotlib`` uses colours from the current napari theme to customise the
+Matplotlib plots. See `the example on creating a new napari theme
+<https://napari.org/stable/gallery/new_theme.html>`_ for a helpful guide.

pyproject.toml

@@ -7,7 +7,7 @@ write_to = "src/napari_matplotlib/_version.py"
 
 [tool.pytest.ini_options]
 qt_api = "pyqt6"
-addopts = "--mpl"
+addopts = "--mpl --mpl-baseline-relative"
 filterwarnings = [
     "error",
     # Coming from vispy

src/napari_matplotlib/base.py

@@ -2,7 +2,6 @@
 from pathlib import Path
 from typing import Optional
 
-import matplotlib
 import matplotlib.style as mplstyle
 import napari
 from matplotlib.backends.backend_qtagg import (  # type: ignore[attr-defined]
@@ -19,10 +18,6 @@
 
 __all__ = ["BaseNapariMPLWidget", "NapariMPLWidget", "SingleAxesWidget"]
 
-_CUSTOM_STYLE_PATH = (
-    Path(matplotlib.get_configdir()) / "napari-matplotlib.mplstyle"
-)
-
 
 class BaseNapariMPLWidget(QWidget):
     """
@@ -47,7 +42,6 @@ def __init__(
     ):
         super().__init__(parent=parent)
         self.viewer = napari_viewer
-        # self._mpl_style_sheet_path: Optional[Path] = None
         self.napari_theme_style_sheet = style_sheet_from_theme(
             get_theme(napari_viewer.theme, as_dict=False)
         )

src/napari_matplotlib/tests/test_theme.py

@@ -1,15 +1,9 @@
-import os
-import shutil
-from copy import deepcopy
-from pathlib import Path
 
-import matplotlib
 import napari
 import numpy as np
 import pytest
-from matplotlib.colors import to_rgba
 
-from napari_matplotlib import HistogramWidget, ScatterWidget
+from napari_matplotlib import ScatterWidget
 from napari_matplotlib.base import NapariMPLWidget
 
 
@@ -127,66 +121,3 @@ def test_no_theme_side_effects(make_napari_viewer):
     unrelated_figure.tight_layout()
 
     return unrelated_figure
-
-
-@pytest.mark.mpl_image_compare
-def test_custom_theme(make_napari_viewer, theme_path, brain_data):
-    viewer = make_napari_viewer()
-    viewer.theme = "dark"
-
-    widget = ScatterWidget(viewer)
-    widget.mpl_style_sheet_path = theme_path
-
-    viewer.add_image(brain_data[0], **brain_data[1], name="brain")
-    viewer.add_image(
-        brain_data[0] * -1, **brain_data[1], name="brain_reversed"
-    )
-
-    viewer.layers.selection.clear()
-    viewer.layers.selection.add(viewer.layers[0])
-    viewer.layers.selection.add(viewer.layers[1])
-
-    return deepcopy(widget.figure)
-
-
-def find_mpl_stylesheet(name: str) -> Path:
-    """Find the built-in matplotlib stylesheet."""
-    return Path(matplotlib.__path__[0]) / f"mpl-data/stylelib/{name}.mplstyle"
-
-
-def test_custom_stylesheet(make_napari_viewer, image_data):
-    """
-    Test that a stylesheet in the current directory is given precidence.
-
-    Do this by copying over a stylesheet from matplotlib's built in styles,
-    naming it correctly, and checking the colours are as expected.
-    """
-    # Copy Solarize_Light2 as if it was a user-overriden stylesheet.
-    style_sheet_path = (
-        Path(matplotlib.get_configdir()) / "napari-matplotlib.mplstyle"
-    )
-    if style_sheet_path.exists():
-        pytest.skip("Won't ovewrite existing custom style sheet.")
-    shutil.copy(
-        find_mpl_stylesheet("Solarize_Light2"),
-        style_sheet_path,
-    )
-
-    try:
-        viewer = make_napari_viewer()
-        viewer.add_image(image_data[0], **image_data[1])
-        widget = HistogramWidget(viewer)
-        assert widget.mpl_style_sheet_path == style_sheet_path
-        ax = widget.figure.gca()
-
-        # The axes should have a light brownish grey background:
-        assert ax.get_facecolor() == to_rgba("#eee8d5")
-        assert ax.patch.get_facecolor() == to_rgba("#eee8d5")
-
-        # The figure background and axis gridlines are light yellow:
-        assert widget.figure.patch.get_facecolor() == to_rgba("#fdf6e3")
-        for gridline in ax.get_xgridlines() + ax.get_ygridlines():
-            assert gridline.get_visible() is True
-            assert gridline.get_color() == "#b0b0b0"
-    finally:
-        os.remove(style_sheet_path)