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inset_axes.ipynb
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{ | |
"cells": [ | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"start_time": "2020-08-21T12:43:40.717315Z", | |
"end_time": "2020-08-21T12:43:41.657596Z" | |
}, | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "import numpy as np\nimport matplotlib.pyplot as plt", | |
"execution_count": 1, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"start_time": "2020-08-21T12:43:41.660092Z", | |
"end_time": "2020-08-21T12:43:41.665501Z" | |
}, | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "step = .1\nx = np.arange(0,10+step,step)\ny = x**2", | |
"execution_count": 2, | |
"outputs": [] | |
}, | |
{ | |
"metadata": { | |
"ExecuteTime": { | |
"start_time": "2020-08-21T12:43:41.676312Z", | |
"end_time": "2020-08-21T12:43:42.101648Z" | |
}, | |
"trusted": true | |
}, | |
"cell_type": "code", | |
"source": "fig, ax = plt.subplots(figsize=[10, 8])\nax.plot(x,y)\naxins = ax.inset_axes([0.1, 0.5, 0.4, 0.4])\naxins.plot(x[:10],y[:10])\nax.indicate_inset_zoom(axins)\naxins.set_xticklabels('')\naxins.set_yticklabels('')\nplt.show()", | |
"execution_count": 3, | |
"outputs": [ | |
{ | |
"output_type": "display_data", | |
"data": { | |
"text/plain": "<Figure size 720x576 with 1 Axes>", | |
"image/png": 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\n" | |
}, | |
"metadata": { | |
"needs_background": "light" | |
} | |
} | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"name": "python3", | |
"display_name": "Python 3", | |
"language": "python" | |
}, | |
"language_info": { | |
"name": "python", | |
"version": "3.8.5", | |
"mimetype": "text/x-python", | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"pygments_lexer": "ipython3", | |
"nbconvert_exporter": "python", | |
"file_extension": ".py" | |
}, | |
"gist": { | |
"id": "", | |
"data": { | |
"description": "inset_axes.ipynb", | |
"public": true | |
} | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 4 | |
} |
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