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August 6, 2023 16:52
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Plotting to recall a plot based on SO https://stackoverflow.com/q/76842073/8508004
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "8233f50a-ca0f-4c15-b113-9f6f99f50fcb", | |
| "metadata": {}, | |
| "source": [ | |
| "## Plotting to recall a plot based on SO https://stackoverflow.com/q/76842073/8508004" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "3b283582-6246-48f4-a1f6-a9f129c67f3d", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import matplotlib.pyplot as plt" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "9c93c5f5-33a4-4a8d-8a11-da645e70b36e", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "a = range(10)\n", | |
| "b = [2**x + 5 for x in a]" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "22cb5802-2fbf-49b3-85c6-144ce98f657d", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 200x200 with 0 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "fig = plt.figure(figsize=(2,2))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "d4399d42-5894-4994-93b5-04f7de1fbb5a", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax = fig.add_axes([.1,.1,.8,.8])" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "560b6134-c37a-4aed-a0ad-d8cc079cbcc8", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "ax.plot(a,b, label='b');" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "2b34c2c2-f24b-4c56-a44b-1a5d7b568756", | |
| "metadata": {}, | |
| "source": [ | |
| "I didn't think for the next line `plt.show()` would be necessary in modern Jupyter to show the plot as in the demo , but it was needed! Oddd." | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "73264a92-c6f4-48b5-b4dc-cf32ed21d9d5", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "plt.figure(fig);" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "acae3664-4aa9-430a-8e65-ab7c37a32a06", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 200x200 with 1 Axes>" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "output_type": "display_data" | |
| } | |
| ], | |
| "source": [ | |
| "plt.figure(fig); plt.show()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "7b307213-1c99-4109-85f9-8e8e58d58816", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 200x200 with 1 Axes>" | |
| ] | |
| }, | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fig" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "id": "40cf3e87-4dcc-45c9-8909-f79d1a718f6c", | |
| "metadata": {}, | |
| "source": [ | |
| "I suggest addition of the following two options based on using the `.figure` attribure, see [here](https://stackoverflow.com/a/76707536/8508004) and [here](https://stackoverflow.com/a/70707556/8508004) and [here](https://stackoverflow.com/a/73326297/8508004) for more information and examples of `.figure` use (or also the third paragraph [here](https://stackoverflow.com/a/60269307/8508004) where sometimes seaborn, which is built on matplotlib, a bit confusingly, uses `.fig` or `.figure` at times):" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "1c8168be-e3a1-46d9-8ea6-fad64f9ae884", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 200x200 with 1 Axes>" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fig.figure" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "id": "57eaab34-9968-4727-8160-668f9b40c0a4", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "image/png": 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\n", | |
| "text/plain": [ | |
| "<Figure size 200x200 with 1 Axes>" | |
| ] | |
| }, | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ax.figure" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "id": "03f3df4d-37b9-4ef4-8b23-b1f75b9ef163", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3 (ipykernel)", | |
| "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": "3.10.6" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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