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26c634550904aba62520384fc8aa7dec
mooc-rr
Commits
2a36a205
Commit
2a36a205
authored
Apr 24, 2020
by
26c634550904aba62520384fc8aa7dec
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678c8fc9
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exercice.ipynb
module3/exo3/exercice.ipynb
+14
-10
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module3/exo3/exercice.ipynb
View file @
2a36a205
...
@@ -590,22 +590,22 @@
...
@@ -590,22 +590,22 @@
},
},
{
{
"cell_type": "code",
"cell_type": "code",
"execution_count":
98
,
"execution_count":
60
,
"metadata": {},
"metadata": {},
"outputs": [
"outputs": [
{
{
"data": {
"data": {
"text/plain": [
"text/plain": [
"<matplotlib.
axes._subplots.AxesSubplot at 0x7f9105a1e5f
8>"
"<matplotlib.
collections.PolyCollection at 0x7fa2ee212ba
8>"
]
]
},
},
"execution_count":
98
,
"execution_count":
60
,
"metadata": {},
"metadata": {},
"output_type": "execute_result"
"output_type": "execute_result"
},
},
{
{
"data": {
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAY
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
\n",
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
\n",
"text/plain": [
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
"<Figure size 432x288 with 1 Axes>"
]
]
...
@@ -617,15 +617,19 @@
...
@@ -617,15 +617,19 @@
}
}
],
],
"source": [
"source": [
"x=list(raw_data[\"Year\"]\n",
"x=list(raw_data[\"Year\"]
)
\n",
"y_wa=list(raw_data[\"Wages\"])\n",
"y_wa
ges
=list(raw_data[\"Wages\"])\n",
"y_wh=list(raw_data[\"Wheat\"])\n",
"y_wh
eat
=list(raw_data[\"Wheat\"])\n",
"graphique1 = plt.figure()\n",
"graphique1 = plt.figure()\n",
"ax = graphique1.add_subplot(111)\n",
"ax = graphique1.add_subplot(111)\n",
"ax.set
= plt.ylabel('Livres'
)\n",
"ax.set
(xbound=[1550,1850],ybound=[0,100],ylabel=\"Pounds\",xlabel=\"Year\",Title=\"Evolution of wheat prices and wages\"
)\n",
"ax.xaxis.set_major_locator(plt.MultipleLocator(50))\n",
"ax.xaxis.set_major_locator(plt.MultipleLocator(50))\n",
"sorted_data['Wheat'].plot(kind='bar',ax=ax,legend=True,color='black')\n",
"ax.bar(x,y_wheat,width=5, color=\"black\",label=\"Wheat Price\")\n",
"sorted_data['Wages'].plot(title= \"Evolution des salaires et du prix du blé\",ax=ax,legend=True,linewidth=5.0)"
"ax.plot(x,y_wages,color=\"red\",label=\"Wages\")\n",
"ax.fill_between(x,y_wages,0,color=\"blue\")\n",
" \n",
"#sorted_data['Wheat'].plot(kind='bar',ax=ax,legend=True,color='black')\n",
"#sorted_data['Wages'].plot(title= \"Evolution des salaires et du prix du blé\",ax=ax,legend=True,linewidth=5.0)"
]
]
}
}
],
],
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