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26c634550904aba62520384fc8aa7dec
mooc-rr
Commits
197020fe
Commit
197020fe
authored
Apr 24, 2020
by
26c634550904aba62520384fc8aa7dec
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exercice.ipynb
module3/exo3/exercice.ipynb
+254
-15
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module3/exo3/exercice.ipynb
View file @
197020fe
...
@@ -866,52 +866,291 @@
...
@@ -866,52 +866,291 @@
]
]
},
},
{
{
"cell_type": "code",
"cell_type": "markdown",
"execution_count": null,
"metadata": {
"metadata": {
"hideCode": false,
"hideCode": false,
"hidePrompt": false
"hidePrompt": false
},
},
"outputs": [],
"source": [
"source": []
"Plutot qu'un histrogramme pour le prix du blé, on peut tracer 2 \"courbes\".\n",
"Je trouve ca plutôt mieux."
]
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
null
,
"execution_count":
27
,
"metadata": {
"metadata": {
"hideCode": false,
"hideCode": false,
"hidePrompt": false
"hidePrompt": false
},
},
"outputs": [],
"outputs": [
"source": []
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f3a77b2d550>"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"graphique6 = plt.figure()\n",
"ax_6_1 = graphique6.add_subplot(111)\n",
"ax_6_1.set(xbound=[1550,1850],ylim=[0,100],ylabel=\"Wheat Price (shilling per 1/4 bushel)\",xlabel=\"Year\",Title=\"Evolution of wheat prices and wages\")\n",
"ax_6_1.xaxis.set_major_locator(plt.MultipleLocator(50))\n",
"\n",
"\n",
"ax_6_1.plot(x,zero,color=\"red\",label=\"Wages\")\n",
"ax_6_1.plot(x,y_wheat,color=\"black\",label=\"Wheat\")\n",
"\n",
"#ax_6_1.fill_between(x,y_wheat,0,color=\"black\",alpha=0.65)#alpha permet d'avoir un remplissage semi-transparent\n",
"\n",
"ax_6_2=ax_6_1.twinx()\n",
"ax_6_2.plot(x,y_wages,color=\"red\",label=\"Wages\")\n",
"#ax_6_2.fill_between(x,y_wages,0,color=\"blue\",alpha=0.25)\n",
"ax_6_2.set_ylabel(\"Wages (shilling per week)\", color=\"red\")\n",
"#ax_6_2.set_ylim(0,100)\n",
"ax_6_2.tick_params(axis='y', labelcolor=\"red\")\n",
"ax_6_1.legend(loc='upper left')"
]
},
},
{
{
"cell_type": "code",
"cell_type": "markdown",
"execution_count": null,
"metadata": {
"metadata": {
"hideCode": false,
"hideCode": false,
"hidePrompt": false
"hidePrompt": false
},
},
"outputs": [],
"source": [
"source": []
"### 3eme exercice\n",
"On va maintenant passer au troisième exercice\n",
"\n",
"Dans un premier temps, on va calculer le pouvoir d'achat (en boisseau par semaine)."
]
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
null
,
"execution_count":
30
,
"metadata": {
"metadata": {
"hideCode": false,
"hideCode": false,
"hidePrompt": false
"hidePrompt": false
},
},
"outputs": [],
"outputs": [
"source": []
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Unnamed: 0</th>\n",
" <th>Year</th>\n",
" <th>Wheat</th>\n",
" <th>Wages</th>\n",
" <th>pruchasing_power</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>1565</td>\n",
" <td>41.0</td>\n",
" <td>5.00</td>\n",
" <td>0.030488</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2</td>\n",
" <td>1570</td>\n",
" <td>45.0</td>\n",
" <td>5.05</td>\n",
" <td>0.028056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3</td>\n",
" <td>1575</td>\n",
" <td>42.0</td>\n",
" <td>5.08</td>\n",
" <td>0.030238</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>1580</td>\n",
" <td>49.0</td>\n",
" <td>5.12</td>\n",
" <td>0.026122</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5</td>\n",
" <td>1585</td>\n",
" <td>41.5</td>\n",
" <td>5.15</td>\n",
" <td>0.031024</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Unnamed: 0 Year Wheat Wages pruchasing_power\n",
"0 1 1565 41.0 5.00 0.030488\n",
"1 2 1570 45.0 5.05 0.028056\n",
"2 3 1575 42.0 5.08 0.030238\n",
"3 4 1580 49.0 5.12 0.026122\n",
"4 5 1585 41.5 5.15 0.031024"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data[\"pruchasing_power\"]=raw_data[\"Wages\"]/(4*raw_data[\"Wheat\"])\n",
"raw_data.head()"
]
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
null
,
"execution_count":
31
,
"metadata": {
"metadata": {
"hideCode": false,
"hideCode": false,
"hidePrompt": false
"hidePrompt": false
},
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f3a77abcc50>"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"y_purchasing=list(raw_data[\"pruchasing_power\"])\n",
"graphique7 = plt.figure()\n",
"ax_7_1 = graphique7.add_subplot(111)\n",
"ax_7_1.set(xbound=[1550,1850],ylabel=\"Purchasing Power( bushel per week)\",xlabel=\"Year\",Title=\"Evolution of the purchasing power\")\n",
"ax_7_1.xaxis.set_major_locator(plt.MultipleLocator(50))\n",
"ax_7_1.plot(x,y_purchasing,color=\"black\",label=\"Purchasing Power\")\n",
"ax_7_1.legend(loc='upper left')\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On voit qu'on a bien une tendanf.\n",
"Il faut importer un nouveau module. Normallement, l'import se fait en début de code mais je vais le laisser ici."
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7f3a69f725f8>]"
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
},
{
"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": [
"from scipy.signal import savgol_filter\n",
"power_fit2 = savgol_filter(y_purchasing[:-3], 21, 5) # window size 51, polynomial order 3\n",
"\n",
"\n",
"graphique8 = plt.figure()\n",
"ax_8_1 = graphique8.add_subplot(111)\n",
"ax_8_1.set(xbound=[1550,1850],ylabel=\"Purchasing Power( bushel per week)\",xlabel=\"Year\",Title=\"Evolution of the purchasing power\")\n",
"ax_8_1.xaxis.set_major_locator(plt.MultipleLocator(50))\n",
"ax_8_1.plot(x,y_purchasing,'o',color=\"blue\")\n",
"ax_8_1.plot(x[:-3],power_fit2,color=\"blue\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"outputs": [],
"source": []
"source": []
}
}
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