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Feb 28, 2020
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Improve example Notebook #188

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53 changes: 42 additions & 11 deletions examples/ipympl.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,10 @@
"# Enabling the `widget` backend.\n",
"# This requires jupyter-matplotlib a.k.a. ipympl.\n",
"# ipympl can be install via pip or conda.\n",
"%matplotlib widget"
"%matplotlib widget\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np"
]
},
{
Expand All @@ -30,9 +33,6 @@
"outputs": [],
"source": [
"# Testing matplotlib interactions with a simple plot\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"fig = plt.figure()\n",
"plt.plot(np.sin(np.linspace(0, 20, 100)));"
]
Expand Down Expand Up @@ -65,6 +65,13 @@
"fig.canvas"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 3D plotting"
]
},
{
"cell_type": "code",
"execution_count": null,
Expand All @@ -85,6 +92,13 @@
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Subplots"
]
},
{
"cell_type": "code",
"execution_count": null,
Expand Down Expand Up @@ -138,6 +152,13 @@
"fig.canvas.toolbar_visible = False"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Interactions with other widgets and layouting"
]
},
{
"cell_type": "code",
"execution_count": null,
Expand All @@ -146,36 +167,46 @@
"source": [
"# When using the `widget` backend from ipympl,\n",
"# fig.canvas is a proper Jupyter interactive widget, which can be embedded in\n",
"# Layout classes like HBox and Vbox.\n",
"# an ipywidgets layout. See https://ipywidgets.readthedocs.io/en/stable/examples/Layout%20Templates.html\n",
"\n",
"# One can bound figure attributes to other widget values.\n",
"\n",
"from ipywidgets import HBox, FloatSlider\n",
"from ipywidgets import AppLayout, FloatSlider\n",
"\n",
"plt.ioff()\n",
"\n",
"slider = FloatSlider(\n",
" orientation='vertical',\n",
" orientation='horizontal',\n",
" description='Factor:',\n",
" value=1.0,\n",
" min=0.02,\n",
" max=2.0\n",
")\n",
"\n",
"slider.layout.margin = '0px 30% 0px 30%'\n",
"slider.layout.width = '40%'\n",
"\n",
"fig = plt.figure()\n",
"fig.canvas.header_visible = False\n",
"fig.canvas.layout.min_height = '400px'\n",
"plt.title('Plotting: y=sin({} * x)'.format(slider.value))\n",
"\n",
"x = np.linspace(0, 20, 500)\n",
"\n",
"lines = plt.plot(x, np.sin(slider.value * x))\n",
"lines = plt.plot(x, np.sin(slider.value * x))\n",
"\n",
"def update_lines(change):\n",
" plt.title('Plotting: y=sin({} * x)'.format(change.new))\n",
" lines[0].set_data(x, np.sin(change.new * x))\n",
" fig.canvas.draw()\n",
" fig.canvas.flush_events()\n",
"\n",
"slider.observe(update_lines, names='value')\n",
"fig.canvas.toolbar_visible = False\n",
"\n",
"HBox([slider, fig.canvas])"
"AppLayout(\n",
" center=fig.canvas,\n",
" footer=slider,\n",
" pane_heights=[0, 6, 1]\n",
")"
]
}
],
Expand Down