258 lines
57 KiB
Plaintext
258 lines
57 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "80def311",
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"metadata": {},
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"source": [
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"Libraries"
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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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"id": "30af2519",
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"metadata": {},
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"outputs": [],
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"source": [
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"import scipy \n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ae5d4a87",
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"metadata": {},
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"source": [
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"Data"
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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": 11,
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"id": "2ed44ec9",
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"metadata": {},
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"outputs": [],
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"source": [
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"x= np.linspace(0,2*np.pi)\n",
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"y= np.sin(x)"
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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": 12,
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"id": "c2682013",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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\n",
|
|
"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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\n",
|
|
"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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\n",
|
|
"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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\n",
|
|
"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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\n",
|
|
"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"
|
|
},
|
|
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"name": "ipython",
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},
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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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}
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}
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