no commit message

parent 9108ac03
......@@ -585,7 +585,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 68,
"metadata": {
"hideCode": false,
"hidePrompt": false
......@@ -594,10 +594,10 @@
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7f3a7879d630>"
"<matplotlib.axes._subplots.AxesSubplot at 0x7f3a687f6f98>"
]
},
"execution_count": 8,
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
},
......@@ -1144,23 +1144,23 @@
},
{
"cell_type": "code",
"execution_count": 67,
"execution_count": 69,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Text(0,0.5,'Wheat Price (shilling per 1/4 bushel)'),\n",
" Text(0.5,0,'Wages (shilling per week)')]"
"[Text(0,0.5,'Wages (shilling per week)'),\n",
" Text(0.5,0,'Wheat Price (shilling per 1/4 bushel)')]"
]
},
"execution_count": 67,
"execution_count": 69,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
......@@ -1174,10 +1174,86 @@
"source": [
"graphique9 = plt.figure()\n",
"ax_9_1 = graphique9.add_subplot(111)\n",
"ax_9_1.plot(y_wages,y_wheat)\n",
"ax_9_1.set(ylabel=\"Wheat Price (shilling per 1/4 bushel)\",xlabel=\"Wages (shilling per week)\")"
"ax_9_1.plot(y_wheat,y_wages)\n",
"ax_9_1.set(xlabel=\"Wheat Price (shilling per 1/4 bushel)\",ylabel=\"Wages (shilling per week)\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Je ne trouve pas ce graphique très clair... \n",
"Une première idée pour réintroduire le temps dans ce graphique est de colorer la courbe en fonction du temps.\n",
"Encore une fois, je vais m'inspirer d'un exemple de la documentation de [matplotlib](https://matplotlib.org/gallery/lines_bars_and_markers/multicolored_line.html#sphx-glr-gallery-lines-bars-and-markers-multicolored-line-py)"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.colorbar.Colorbar at 0x7f3a684c1eb8>"
]
},
"execution_count": 81,
"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": [
"from matplotlib.collections import LineCollection\n",
"from matplotlib.colors import ListedColormap, BoundaryNorm\n",
"\n",
"\n",
"# Create a set of line segments so that we can color them individually\n",
"# This creates the points as a N x 1 x 2 array so that we can stack points\n",
"# together easily to get the segments. The segments array for line collection\n",
"# needs to be (numlines) x (points per line) x 2 (for x and y)\n",
"points = np.array([raw_data[\"Wheat\"], raw_data[\"Wages\"]]).T.reshape(-1, 1, 2)\n",
"segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
"\n",
" \n",
" \n",
"graphique10 = plt.figure()\n",
"ax_10_1 = graphique10.add_subplot(111)\n",
"ax_10_1.set(xbound=[20,120],ybound=[0,35])\n",
"# Create a continuous norm to map from data points to colors\n",
"norm = plt.Normalize(raw_data[\"Year\"].min(), raw_data[\"Year\"].max())\n",
"lc = LineCollection(segments, cmap='viridis', norm=norm)\n",
"# Set the values used for colormapping\n",
"lc.set_array(raw_data[\"Year\"])\n",
"lc.set_linewidth(2)\n",
"line = ax_10_1.add_collection(lc)\n",
"graphique10.colorbar(line, ax=ax_10_1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment