DX: remove figure_formats = ["svg"] statement (#507)

* DOC: plot with SVG where needed
ComPWA · Dec 2, 2023 · da38b5e · da38b5e
1 parent 379e96a
commit da38b5e
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diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -42,7 +42,7 @@ repos:
       - id: trailing-whitespace
 
   - repo: https://github.com/ComPWA/repo-maintenance
-    rev: 0.1.4
+    rev: 0.1.5
     hooks:
       - id: check-dev-files
         args:

diff --git a/docs/amplitude-analysis.ipynb b/docs/amplitude-analysis.ipynb
@@ -43,7 +43,6 @@
    },
    "outputs": [],
    "source": [
-    "%config InlineBackend.figure_formats = ['svg']\n",
     "import os\n",
     "\n",
     "STATIC_WEB_PAGE = {\"EXECUTE_NB\", \"READTHEDOCS\"}.intersection(os.environ)"
@@ -749,15 +748,15 @@
    },
    "outputs": [],
    "source": [
+    "%config InlineBackend.figure_formats = ['svg']\n",
     "import matplotlib.pyplot as plt\n",
-    "from matplotlib import cm\n",
     "\n",
     "resonances = sorted(\n",
     "    reaction.get_intermediate_particles(),\n",
     "    key=lambda p: p.mass,\n",
     ")\n",
     "evenly_spaced_interval = np.linspace(0, 1, len(resonances))\n",
-    "colors = [cm.rainbow(x) for x in evenly_spaced_interval]\n",
+    "colors = [plt.cm.rainbow(x) for x in evenly_spaced_interval]\n",
     "fig, ax = plt.subplots(figsize=(9, 4))\n",
     "ax.hist(\n",
     "    np.real(data_frame[\"m_12\"]),\n",
@@ -1466,15 +1465,14 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
-    "from matplotlib import cm\n",
     "\n",
     "resonances = sorted(\n",
     "    reaction.get_intermediate_particles(),\n",
     "    key=lambda p: p.mass,\n",
     ")\n",
     "\n",
     "evenly_spaced_interval = np.linspace(0, 1, len(resonances))\n",
-    "colors = [cm.rainbow(x) for x in evenly_spaced_interval]\n",
+    "colors = [plt.cm.rainbow(x) for x in evenly_spaced_interval]\n",
     "\n",
     "\n",
     "def indicate_masses(ax):\n",
@@ -1918,7 +1916,7 @@
    },
    "outputs": [],
    "source": [
-    "fig, ax = plt.subplots(1, figsize=(8, 5))\n",
+    "fig, ax = plt.subplots(figsize=(8, 5))\n",
     "bins = 150\n",
     "phsp_projection = np.real(phsp[\"m_12\"])\n",
     "ax.hist(\n",
@@ -1990,7 +1988,7 @@
     "    sub_dataset = helicity_transformer(sub_events)\n",
     "    masses.append(np.real(sub_dataset[\"m_12\"]))\n",
     "\n",
-    "fig, ax = plt.subplots(1, figsize=(8, 5))\n",
+    "fig, ax = plt.subplots(figsize=(8, 5))\n",
     "plt.hist(masses, bins=100, stacked=True, alpha=0.6)\n",
     "ax.set_xlim(0.25, 2.5)\n",
     "ax.set_xlabel(R\"$m_{\\pi^0\\pi^0}$ [GeV]\")\n",

diff --git a/docs/amplitude-analysis/analytic-continuation.ipynb b/docs/amplitude-analysis/analytic-continuation.ipynb
@@ -43,7 +43,6 @@
    },
    "outputs": [],
    "source": [
-    "%config InlineBackend.figure_formats = ['svg']\n",
     "import os\n",
     "\n",
     "STATIC_WEB_PAGE = {\"EXECUTE_NB\", \"READTHEDOCS\"}.intersection(os.environ)"
@@ -257,8 +256,8 @@
    },
    "outputs": [],
    "source": [
+    "%config InlineBackend.figure_formats = ['svg']\n",
     "import numpy as np\n",
-    "from matplotlib import cm\n",
     "\n",
     "phsp = helicity_transformer(phsp_momenta)\n",
     "intensities = np.array(intensity(phsp))\n",
@@ -268,7 +267,7 @@
     "    key=lambda p: p.mass,\n",
     ")\n",
     "evenly_spaced_interval = np.linspace(0, 1, len(resonances))\n",
-    "colors = [cm.rainbow(x) for x in evenly_spaced_interval]\n",
+    "colors = [plt.cm.rainbow(x) for x in evenly_spaced_interval]\n",
     "\n",
     "fig, ax = plt.subplots()\n",
     "ax.set_xlabel(\"$m_{02}$ [GeV]\")\n",

diff --git a/docs/usage.ipynb b/docs/usage.ipynb
@@ -43,7 +43,6 @@
    },
    "outputs": [],
    "source": [
-    "%config InlineBackend.figure_formats = ['svg']\n",
     "import os\n",
     "\n",
     "STATIC_WEB_PAGE = {\"EXECUTE_NB\", \"READTHEDOCS\"}.intersection(os.environ)"
@@ -192,6 +191,7 @@
    },
    "outputs": [],
    "source": [
+    "%config InlineBackend.figure_formats = ['svg']\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
     "fig, ax = plt.subplots(figsize=(5, 3))\n",
@@ -246,6 +246,7 @@
    },
    "outputs": [],
    "source": [
+    "%config InlineBackend.figure_formats = ['svg']\n",
     "%matplotlib widget\n",
     "import matplotlib.pyplot as plt\n",
     "from matplotlib.animation import PillowWriter\n",
@@ -703,19 +704,20 @@
      "source_hidden": true
     },
     "tags": [
+     "full-width",
      "hide-input"
     ]
    },
    "outputs": [],
    "source": [
-    "from matplotlib import cm\n",
+    "%config InlineBackend.figure_formats = ['png']\n",
     "\n",
     "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(7, 4.3))\n",
     "fig.canvas.toolbar_visible = False\n",
     "fig.canvas.header_visible = False\n",
     "fig.canvas.footer_visible = False\n",
-    "ax1.hist2d(*cartesian_data.values(), bins=100, cmap=cm.coolwarm)\n",
-    "ax2.hist2d(polar_data[\"phi\"], polar_data[\"r\"], bins=100, cmap=cm.coolwarm)\n",
+    "ax1.hist2d(*cartesian_data.values(), bins=100, cmap=plt.cm.coolwarm)\n",
+    "ax2.hist2d(polar_data[\"phi\"], polar_data[\"r\"], bins=100, cmap=plt.cm.coolwarm)\n",
     "fig.suptitle(\"Hit-and-miss intensity distribution\")\n",
     "ax1.set_title(\"cartesian\")\n",
     "ax2.set_title(\"polar\")\n",
@@ -771,11 +773,11 @@
    },
    "outputs": [],
    "source": [
+    "%config InlineBackend.figure_formats = ['png']\n",
     "%matplotlib widget\n",
     "import ipywidgets\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
-    "from matplotlib import cm\n",
     "\n",
     "size = 200\n",
     "X, Y = np.meshgrid(\n",
@@ -810,7 +812,7 @@
     "    Z = polar_function(polar_domain)\n",
     "    if color_mesh is not None:\n",
     "        color_mesh.remove()\n",
-    "    color_mesh = ax_interactive.pcolormesh(X, Y, Z, cmap=cm.coolwarm)"
+    "    color_mesh = ax_interactive.pcolormesh(X, Y, Z, cmap=plt.cm.coolwarm)"
    ]
   },
   {