Formatting

Author: max-models

src/maxplotlib/canvas/canvas.py

@@ -1404,9 +1404,7 @@ def colorbar(
             label=label, layer=layer, **kwargs
         )
 
-    def add_colorbar(
-        self, label: str = "", layer=0, row=None, col=None, **kwargs
-    ):
+    def add_colorbar(self, label: str = "", layer=0, row=None, col=None, **kwargs):
         """Alias for ``colorbar``."""
         self.colorbar(label=label, layer=layer, row=row, col=col, **kwargs)
 

tutorials/tutorial_01.ipynb

@@ -101,8 +101,12 @@
    "source": [
     "canvas = Canvas()\n",
     "\n",
-    "canvas.add_line(x, np.sin(x), label=\"sin(x)\", color=\"royalblue\", linestyle=\"solid\", linewidth=2)\n",
-    "canvas.add_line(x, np.cos(x), label=\"cos(x)\", color=\"tomato\", linestyle=\"dashed\", linewidth=2)\n",
+    "canvas.add_line(\n",
+    "    x, np.sin(x), label=\"sin(x)\", color=\"royalblue\", linestyle=\"solid\", linewidth=2\n",
+    ")\n",
+    "canvas.add_line(\n",
+    "    x, np.cos(x), label=\"cos(x)\", color=\"tomato\", linestyle=\"dashed\", linewidth=2\n",
+    ")\n",
     "canvas.add_line(\n",
     "    x,\n",
     "    np.sin(2 * x),\n",

tutorials/tutorial_03.ipynb

@@ -76,8 +76,12 @@
    "source": [
     "canvas = Canvas()\n",
     "\n",
-    "canvas.add_line(x, np.sin(x), label=\"sin(x)\", color=\"royalblue\", linestyle=\"solid\", linewidth=2)\n",
-    "canvas.add_line(x, np.cos(x), label=\"cos(x)\", color=\"tomato\", linestyle=\"dashed\", linewidth=2)\n",
+    "canvas.add_line(\n",
+    "    x, np.sin(x), label=\"sin(x)\", color=\"royalblue\", linestyle=\"solid\", linewidth=2\n",
+    ")\n",
+    "canvas.add_line(\n",
+    "    x, np.cos(x), label=\"cos(x)\", color=\"tomato\", linestyle=\"dashed\", linewidth=2\n",
+    ")\n",
     "\n",
     "canvas.set_xlabel(\"x\")\n",
     "canvas.set_ylabel(\"y\")\n",
@@ -197,7 +201,9 @@
     "yerr = 0.1 + 0.05 * rng.random(len(xm))\n",
     "\n",
     "canvas = Canvas()\n",
-    "canvas.errorbar(xm, ym, yerr=yerr, fmt=\"o\", capsize=4, color=\"tomato\", label=\"measurements\")\n",
+    "canvas.errorbar(\n",
+    "    xm, ym, yerr=yerr, fmt=\"o\", capsize=4, color=\"tomato\", label=\"measurements\"\n",
+    ")\n",
     "canvas.add_line(x, np.sin(x), color=\"gray\", linestyle=\"dashed\", label=\"true sin(x)\")\n",
     "canvas.set_xlabel(\"x\")\n",
     "canvas.set_ylabel(\"y\")\n",
@@ -229,7 +235,9 @@
     "\n",
     "canvas.axhline(y=0, color=\"black\", linestyle=\"solid\", linewidth=0.8)\n",
     "canvas.axhline(y=0.5, color=\"green\", linestyle=\"dashed\", linewidth=1.2, label=\"y = 0.5\")\n",
-    "canvas.axhline(y=-0.5, color=\"green\", linestyle=\"dashed\", linewidth=1.2, label=\"y = -0.5\")\n",
+    "canvas.axhline(\n",
+    "    y=-0.5, color=\"green\", linestyle=\"dashed\", linewidth=1.2, label=\"y = -0.5\"\n",
+    ")\n",
     "canvas.axvline(x=np.pi, color=\"red\", linestyle=\"dotted\", linewidth=1.5, label=\"x = π\")\n",
     "\n",
     "canvas.set_xlabel(\"x\")\n",

tutorials/tutorial_04.ipynb

@@ -177,8 +177,12 @@
     "\n",
     "canvas = Canvas(width=\"10cm\", ratio=0.55)\n",
     "\n",
-    "canvas.add_line(x, np.sin(x), linewidth=0.8, marker=\"o\", markersize=3, label=\"thin / small\")\n",
-    "canvas.add_line(x, np.sin(x) - 0.6, linewidth=2.5, marker=\"o\", markersize=7, label=\"medium\")\n",
+    "canvas.add_line(\n",
+    "    x, np.sin(x), linewidth=0.8, marker=\"o\", markersize=3, label=\"thin / small\"\n",
+    ")\n",
+    "canvas.add_line(\n",
+    "    x, np.sin(x) - 0.6, linewidth=2.5, marker=\"o\", markersize=7, label=\"medium\"\n",
+    ")\n",
     "canvas.add_line(\n",
     "    x, np.sin(x) - 1.2, linewidth=4.5, marker=\"o\", markersize=12, label=\"thick / large\"\n",
     ")\n",
@@ -243,7 +247,9 @@
     "canvas = Canvas(width=\"10cm\", ratio=0.6)\n",
     "\n",
     "# Shaded uncertainty band\n",
-    "canvas.fill_between(x, np.sin(x) - 0.15, np.sin(x) + 0.15, alpha=0.15, color=\"steelblue\")\n",
+    "canvas.fill_between(\n",
+    "    x, np.sin(x) - 0.15, np.sin(x) + 0.15, alpha=0.15, color=\"steelblue\"\n",
+    ")\n",
     "\n",
     "# Noisy data\n",
     "canvas.scatter(\n",

tutorials/tutorial_05.ipynb

@@ -237,7 +237,9 @@
     "canvas = Canvas(width=\"10cm\", ratio=0.55)\n",
     "canvas.add_line(x, np.sin(x), color=\"steelblue\", label=r\"$\\sin(x)$\")\n",
     "canvas.add_line(x, np.cos(x), color=\"tomato\", label=r\"$\\cos(x)$\")\n",
-    "canvas.add_line(x, np.sin(2 * x), color=\"seagreen\", label=r\"$\\sin(2x)$\", linestyle=\"dashed\")\n",
+    "canvas.add_line(\n",
+    "    x, np.sin(2 * x), color=\"seagreen\", label=r\"$\\sin(2x)$\", linestyle=\"dashed\"\n",
+    ")\n",
     "\n",
     "canvas.set_xlabel(\"x\")\n",
     "canvas.set_legend(True)\n",

tutorials/tutorial_06.ipynb

@@ -210,7 +210,9 @@
     "canvas.scatter(x, y_data, color=\"gray\", s=8, alpha=0.5, label=\"measured data\", layer=0)\n",
     "\n",
     "# Layer 1: true function\n",
-    "canvas.add_line(x, np.sin(x), color=\"steelblue\", linewidth=2, label=r\"true: $\\sin(x)$\", layer=1)\n",
+    "canvas.add_line(\n",
+    "    x, np.sin(x), color=\"steelblue\", linewidth=2, label=r\"true: $\\sin(x)$\", layer=1\n",
+    ")\n",
     "\n",
     "# Layer 2: envelope\n",
     "canvas.fill_between(\n",

tutorials/tutorial_10_matplotlib_nxm_spacing.ipynb

@@ -70,7 +70,9 @@
     ")\n",
     "for i, row in enumerate(tight_axes):\n",
     "    for j, ax in enumerate(row):\n",
-    "        canvas.add_line(x, np.sin((i + 1) * (j + 1) * x), label=f\"sin({(i + 1) * (j + 1)}x)\")\n",
+    "        canvas.add_line(\n",
+    "            x, np.sin((i + 1) * (j + 1) * x), label=f\"sin({(i + 1) * (j + 1)}x)\"\n",
+    "        )\n",
     "        canvas.set_title(f\"line {i},{j}\")\n",
     "\n",
     "tight_fig, tight_m_axes = tight_canvas.plot(backend=\"matplotlib\")\n",
@@ -88,7 +90,9 @@
     ")\n",
     "for i, row in enumerate(loose_axes):\n",
     "    for j, ax in enumerate(row):\n",
-    "        canvas.add_line(x, np.sin((i + 1) * (j + 1) * x), label=f\"sin({(i + 1) * (j + 1)}x)\")\n",
+    "        canvas.add_line(\n",
+    "            x, np.sin((i + 1) * (j + 1) * x), label=f\"sin({(i + 1) * (j + 1)}x)\"\n",
+    "        )\n",
     "        canvas.set_title(f\"line {i},{j}\")\n",
     "\n",
     "loose_fig, loose_m_axes = loose_canvas.plot(backend=\"matplotlib\")\n",