258 lines
57 KiB
Plaintext
258 lines
57 KiB
Plaintext
|
{
|
||
|
|
"cells": [
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"id": "80def311",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Libraries"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 1,
|
||
|
|
"id": "30af2519",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"import scipy \n",
|
||
|
|
"import numpy as np\n",
|
||
|
|
"import matplotlib.pyplot as plt"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "markdown",
|
||
|
|
"id": "ae5d4a87",
|
||
|
|
"metadata": {},
|
||
|
|
"source": [
|
||
|
|
"Data"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 11,
|
||
|
|
"id": "2ed44ec9",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"x= np.linspace(0,2*np.pi)\n",
|
||
|
|
"y= np.sin(x)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 12,
|
||
|
|
"id": "c2682013",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 432x288 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"needs_background": "light"
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"plt.plot(x,y)\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 13,
|
||
|
|
"id": "b48650e9",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 432x432 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"needs_background": "light"
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"# explicity\n",
|
||
|
|
"fig = plt.figure(figsize=(6,6))\n",
|
||
|
|
"ax = plt.subplot(aspect=1)\n",
|
||
|
|
"ax.plot(x,y) \n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 85,
|
||
|
|
"id": "9d421a2a",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"Text(0, 0.5, 'y')"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"execution_count": 85,
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "execute_result"
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 432x432 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"needs_background": "light"
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"#\n",
|
||
|
|
"fig = plt.figure(figsize=(6,6))\n",
|
||
|
|
"ax = plt.subplot(aspect=1)\n",
|
||
|
|
"ax.plot(x,y,\".r\",label=\"sin\") \n",
|
||
|
|
"ax.plot(x,y*y,\".g\",label=\"$sin^2$\") \n",
|
||
|
|
"ax.legend()\n",
|
||
|
|
"ax.set_xlabel(\"x\")\n",
|
||
|
|
"ax.set_ylabel(\"y\")\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 25,
|
||
|
|
"id": "8479edd5",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 432x288 with 0 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"#save\n",
|
||
|
|
"plt.savefig(\"output.png\")"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 67,
|
||
|
|
"id": "50f1ee13",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 432x432 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"needs_background": "light"
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"fig = plt.figure(figsize=(6,6))\n",
|
||
|
|
"ax = plt.subplot(aspect=1)\n",
|
||
|
|
"ax.plot(x,y,\".\",label=\"sin\") \n",
|
||
|
|
"ax.legend()\n",
|
||
|
|
"plt.xlabel(\"x\")\n",
|
||
|
|
"plt.ylabel(\"y\")\n",
|
||
|
|
"plt.text(0.3, 0.1, \"-> Mot\",family=\"cursive\",size=14)\n",
|
||
|
|
"plt.text(0.3, -0.5, \"-> Mot\",family=\"serif\",size = 14)\n",
|
||
|
|
"\n",
|
||
|
|
"plt.show()\n"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 70,
|
||
|
|
"id": "bc36a672",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"ax1.axis?"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": 73,
|
||
|
|
"id": "468401b9",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [
|
||
|
|
{
|
||
|
|
"data": {
|
||
|
|
"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 720x720 with 2 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {
|
||
|
|
"needs_background": "light"
|
||
|
|
},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"fig = plt.figure(figsize=(10,10))\n",
|
||
|
|
"\n",
|
||
|
|
"ax1 = fig.add_subplot(2,2,1,aspect=1)\n",
|
||
|
|
"ax2 = fig.add_subplot(2,2,2,aspect=1)\n",
|
||
|
|
"ax1.plot(x,y,\".\",label=\"sin\") \n",
|
||
|
|
"ax2.plot(x,x,\"o\",label=\"x\")\n",
|
||
|
|
"plt.show()"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "38a66026",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": [
|
||
|
|
"ax.label_outer"
|
||
|
|
]
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"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": "3.9.7"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|