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张壹
2025-10-21 11:20:44 +08:00
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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_bar_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Bar plot advanced\n\nAn more elaborate bar plot example\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\nn = 16\nX = np.arange(n)\nY1 = (1 - X / float(n)) * np.random.uniform(0.5, 1.0, n)\nY2 = (1 - X / float(n)) * np.random.uniform(0.5, 1.0, n)\nplt.bar(X, Y1, facecolor=\"#9999ff\", edgecolor=\"white\")\nplt.bar(X, -Y2, facecolor=\"#ff9999\", edgecolor=\"white\")\nplt.xlim(-0.5, n)\nplt.xticks([])\nplt.ylim(-1, 1)\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Bar Plot: plt.bar(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Make a bar plot with rectangles \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_boxplot_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Boxplot with matplotlib\n\nAn example of doing box plots with matplotlib\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\n\nfig = plt.figure(figsize=(8, 5))\naxes = plt.subplot(111)\n\nn = 5\nZ = np.zeros((n, 4))\nX = np.linspace(0, 2, n)\nrng = np.random.default_rng()\nY = rng.random((n, 4))\nplt.boxplot(Y)\n\nplt.xticks([])\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Box Plot: plt.boxplot(...)\\n \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=axes.transAxes,\n)\n\nplt.text(\n -0.04,\n 0.98,\n \"\\n Make a box and whisker plot \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=axes.transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_contour_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Display the contours of a function\n\nAn example demoing how to plot the contours of a function, with\nadditional layout tweaks.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\n\ndef f(x, y):\n return (1 - x / 2 + x**5 + y**3) * np.exp(-(x**2) - y**2)\n\n\nn = 256\nx = np.linspace(-3, 3, n)\ny = np.linspace(-3, 3, n)\nX, Y = np.meshgrid(x, y)\n\nplt.contourf(X, Y, f(X, Y), 8, alpha=0.75, cmap=\"hot\")\nC = plt.contour(X, Y, f(X, Y), 8, colors=\"black\", linewidth=0.5)\nplt.clabel(C, inline=1, fontsize=10)\nplt.xticks([])\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Contour Plot: plt.contour(..)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Draw contour lines and filled contours \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_grid_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Grid elaborate\n\nAn example displaying a grid on the axes and tweaking the layout.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\nfrom matplotlib.ticker import MultipleLocator\n\nfig = plt.figure(figsize=(8, 6), dpi=72, facecolor=\"white\")\naxes = plt.subplot(111)\naxes.set_xlim(0, 4)\naxes.set_ylim(0, 3)\n\naxes.xaxis.set_major_locator(MultipleLocator(1.0))\naxes.xaxis.set_minor_locator(MultipleLocator(0.1))\naxes.yaxis.set_major_locator(MultipleLocator(1.0))\naxes.yaxis.set_minor_locator(MultipleLocator(0.1))\naxes.grid(which=\"major\", axis=\"x\", linewidth=0.75, linestyle=\"-\", color=\"0.75\")\naxes.grid(which=\"minor\", axis=\"x\", linewidth=0.25, linestyle=\"-\", color=\"0.75\")\naxes.grid(which=\"major\", axis=\"y\", linewidth=0.75, linestyle=\"-\", color=\"0.75\")\naxes.grid(which=\"minor\", axis=\"y\", linewidth=0.25, linestyle=\"-\", color=\"0.75\")\naxes.set_xticklabels([])\naxes.set_yticklabels([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Grid: plt.grid(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=axes.transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Draw ticks and grid \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=axes.transAxes,\n)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_imshow_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Imshow demo\n\nDemoing imshow\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\n\ndef f(x, y):\n return (1 - x / 2 + x**5 + y**3) * np.exp(-(x**2) - y**2)\n\n\nn = 10\nx = np.linspace(-3, 3, 8 * n)\ny = np.linspace(-3, 3, 6 * n)\nX, Y = np.meshgrid(x, y)\nZ = f(X, Y)\nplt.imshow(Z, interpolation=\"nearest\", cmap=\"bone\", origin=\"lower\")\nplt.xticks([])\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Imshow: plt.imshow(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Display an image to current axes \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n family=\"DejaVu Sans\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_multiplot_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Multiple plots vignette\n\nDemo multiple plots and style the figure.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n\nax = plt.subplot(2, 1, 1)\nax.set_xticklabels([])\nax.set_yticklabels([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.72),\n width=0.66,\n height=0.34,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Multiplot: plt.subplot(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=ax.transAxes,\n)\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Plot several plots at once \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=ax.transAxes,\n)\n\nax = plt.subplot(2, 2, 3)\nax.set_xticklabels([])\nax.set_yticklabels([])\n\nax = plt.subplot(2, 2, 4)\nax.set_xticklabels([])\nax.set_yticklabels([])\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_pie_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Pie chart vignette\n\nDemo pie chart with matplotlib and style the figure.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\nn = 20\nX = np.ones(n)\nX[-1] *= 2\nplt.pie(X, explode=X * 0.05, colors=[f\"{i / float(n):f}\" for i in range(n)])\n\nfig = plt.gcf()\nw, h = fig.get_figwidth(), fig.get_figheight()\nr = h / float(w)\n\nplt.xlim(-1.5, 1.5)\nplt.ylim(-1.5 * r, 1.5 * r)\nplt.xticks([])\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Pie Chart: plt.pie(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Make a pie chart of an array \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_plot3d_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# 3D plotting vignette\n\nDemo 3D plotting with matplotlib and decorate the figure.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\n\nx = np.arange(-4, 4, 0.25)\ny = np.arange(-4, 4, 0.25)\nX, Y = np.meshgrid(x, y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\nfig = plt.figure()\nax: Axes3D = fig.add_subplot(111, projection=\"3d\")\n\nax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=\"hot\")\nax.contourf(X, Y, Z, zdir=\"z\", offset=-2, cmap=\"hot\")\n\nax.set_zlim(-2, 2)\nplt.xticks([])\nplt.yticks([])\nax.set_zticks([])\n\nax.text2D(\n 0.05,\n 0.93,\n \" 3D plots \\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n bbox={\"facecolor\": \"white\", \"alpha\": 1.0},\n transform=plt.gca().transAxes,\n)\n\nax.text2D(\n 0.05,\n 0.87,\n \" Plot 2D or 3D data\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_plot_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Plot example vignette\n\nAn example of plots with matplotlib, and added annotations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\nn = 256\nX = np.linspace(0, 2, n)\nY = np.sin(2 * np.pi * X)\n\nplt.plot(X, Y, lw=2, color=\"violet\")\nplt.xlim(-0.2, 2.2)\nplt.xticks([])\nplt.ylim(-1.2, 1.2)\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Regular Plot: plt.plot(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Plot lines and/or markers \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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scientific-computing-2/auto_examples_jupyter_2/pretty_plots/plot_polar_ext.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Plotting in polar, decorated\n\nAn example showing how to plot in polar coordinate, and some\ndecorations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\n\nimport matplotlib\nimport matplotlib.pyplot as plt\n\n\nplt.subplot(1, 1, 1, polar=True)\n\nN = 20\ntheta = np.arange(0.0, 2 * np.pi, 2 * np.pi / N)\nrng = np.random.default_rng()\nradii = 10 * rng.random(N)\nwidth = np.pi / 4 * rng.random(N)\nbars = plt.bar(theta, radii, width=width, bottom=0.0)\njet = matplotlib.colormaps[\"jet\"]\n\nfor r, bar in zip(radii, bars, strict=True):\n bar.set_facecolor(jet(r / 10.0))\n bar.set_alpha(0.5)\nplt.gca().set_xticklabels([])\nplt.gca().set_yticklabels([])\n\n\nplt.text(\n -0.2,\n 1.02,\n \" Polar Axis \\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n bbox={\"facecolor\": \"white\", \"alpha\": 1.0},\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.2,\n 1.01,\n \"\\n\\n Plot anything using polar axis \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Plotting quiver decorated\n\nAn example showing quiver with decorations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\nn = 8\nX, Y = np.mgrid[0:n, 0:n]\nT = np.arctan2(Y - n / 2.0, X - n / 2.0)\nR = 10 + np.sqrt((Y - n / 2.0) ** 2 + (X - n / 2.0) ** 2)\nU, V = R * np.cos(T), R * np.sin(T)\n\nplt.quiver(X, Y, U, V, R, alpha=0.5)\nplt.quiver(X, Y, U, V, edgecolor=\"k\", facecolor=\"None\", linewidth=0.5)\n\nplt.xlim(-1, n)\nplt.xticks([])\nplt.ylim(-1, n)\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Quiver Plot: plt.quiver(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Plot a 2-D field of arrows \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Plot scatter decorated\n\nAn example showing the scatter function, with decorations.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\nn = 1024\nrng = np.random.default_rng()\nX = rng.normal(0, 1, n)\nY = rng.normal(0, 1, n)\n\nT = np.arctan2(Y, X)\n\nplt.scatter(X, Y, s=75, c=T, alpha=0.5)\nplt.xlim(-1.5, 1.5)\nplt.xticks([])\nplt.ylim(-1.5, 1.5)\nplt.yticks([])\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Scatter Plot: plt.scatter(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Make a scatter plot of x versus y \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n# Text printing decorated\n\nAn example showing text printing and decorating the resulting figure.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import numpy as np\nimport matplotlib.pyplot as plt\n\nfig = plt.figure()\nplt.xticks([])\nplt.yticks([])\n\neqs = []\neqs.append(\n r\"$W^{3\\beta}_{\\delta_1 \\rho_1 \\sigma_2} = U^{3\\beta}_{\\delta_1 \\rho_1} + \\frac{1}{8 \\pi 2} \\int^{\\alpha_2}_{\\alpha_2} d \\alpha^\\prime_2 \\left[\\frac{ U^{2\\beta}_{\\delta_1 \\rho_1} - \\alpha^\\prime_2U^{1\\beta}_{\\rho_1 \\sigma_2} }{U^{0\\beta}_{\\rho_1 \\sigma_2}}\\right]$\"\n)\neqs.append(\n r\"$\\frac{d\\rho}{d t} + \\rho \\vec{v}\\cdot\\nabla\\vec{v} = -\\nabla p + \\mu\\nabla^2 \\vec{v} + \\rho \\vec{g}$\"\n)\neqs.append(r\"$\\int_{-\\infty}^\\infty e^{-x^2}dx=\\sqrt{\\pi}$\")\neqs.append(r\"$E = mc^2 = \\sqrt{{m_0}^2c^4 + p^2c^2}$\")\neqs.append(r\"$F_G = G\\frac{m_1m_2}{r^2}$\")\n\nrng = np.random.default_rng()\n\nfor i in range(24):\n index = rng.integers(0, len(eqs))\n eq = eqs[index]\n size = rng.uniform(12, 32)\n x, y = rng.uniform(0, 1, 2)\n alpha = rng.uniform(0.25, 0.75)\n plt.text(\n x,\n y,\n eq,\n ha=\"center\",\n va=\"center\",\n color=\"#11557c\",\n alpha=alpha,\n transform=plt.gca().transAxes,\n fontsize=size,\n clip_on=True,\n )\n\n\n# Add a title and a box around it\nfrom matplotlib.patches import FancyBboxPatch\n\nax = plt.gca()\nax.add_patch(\n FancyBboxPatch(\n (-0.05, 0.87),\n width=0.66,\n height=0.165,\n clip_on=False,\n boxstyle=\"square,pad=0\",\n zorder=3,\n facecolor=\"white\",\n alpha=1.0,\n transform=plt.gca().transAxes,\n )\n)\n\nplt.text(\n -0.05,\n 1.02,\n \" Text: plt.text(...)\\n\",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"xx-large\",\n transform=plt.gca().transAxes,\n)\n\nplt.text(\n -0.05,\n 1.01,\n \"\\n\\n Draw any kind of text \",\n horizontalalignment=\"left\",\n verticalalignment=\"top\",\n size=\"large\",\n transform=plt.gca().transAxes,\n)\n\nplt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}