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

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merged 2 commits into from
Dec 2, 2023
Merged

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

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d5cc5d6
DX: remove `figure_formats = ["svg"]` statement
redeboer Dec 2, 2023
f65cd69
DOC: plot with SVG where needed
redeboer Dec 2, 2023
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2 changes: 1 addition & 1 deletion .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -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:
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12 changes: 5 additions & 7 deletions docs/amplitude-analysis.ipynb
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Expand Up @@ -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)"
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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",
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5 changes: 2 additions & 3 deletions docs/amplitude-analysis/analytic-continuation.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -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)"
Expand Down Expand Up @@ -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",
Expand All @@ -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",
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14 changes: 8 additions & 6 deletions docs/usage.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -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)"
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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",
Expand Down Expand Up @@ -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)"
]
},
{
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