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bfef72cd12dee8b65f44c01b61001c16
mooc-rr
Commits
d2690530
Commit
d2690530
authored
May 15, 2025
by
bfef72cd12dee8b65f44c01b61001c16
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exercice.ipynb
module2/exo3/exercice.ipynb
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module2/exo3/exercice.ipynb
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d2690530
{
{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Firstly we upload the data and the necessary libraries"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"x = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Then we make a sequence plot for these data"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
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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, color='blue', linewidth = 1)\n",
"plt.xlim([0,100])\n",
"plt.ylim([0,25])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally we make a histogram of the data"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"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.hist(x, color='blue', edgecolor='black')\n",
"plt.xlim([0,25])\n",
"plt.ylim([0,25])\n",
"plt.show()"
]
}
],
"metadata": {
"metadata": {
"kernelspec": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3",
...
@@ -16,10 +99,9 @@
...
@@ -16,10 +99,9 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.6.
3
"
"version": "3.6.
4
"
}
}
},
},
"nbformat": 4,
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 2
}
}
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