84 lines
21 KiB
Plaintext
84 lines
21 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"# 1D plotting\n",
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"\n",
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"Plot a basic 1D figure\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"outputs_hidden": false
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}
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},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"# 在区间 [0, 3] 上等距生成 20 个数，作为横坐标\n",
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"x = np.linspace(0, 3, 20)\n",
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"\n",
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"# 在区间 [0, 9] 上等距生成 20 个数，作为纵坐标（与 x 保持线性关系 y = 3x）\n",
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"y = np.linspace(0, 9, 20)\n",
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"\n",
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"# 绘制折线图，显示 x 与 y 的线性关系\n",
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"plt.plot(x, y)\n",
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"\n",
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"# 在同一张图上用圆点标记出每个数据点，便于观察采样位置\n",
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"plt.plot(x, y, \"o\")\n",
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"\n",
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"# 弹出窗口展示最终图形\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.11"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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