diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 0a8c8f9d228eda702e24d792668f263a109d081d..491bb7574d1dc29e5f9a26baab0f78a579c2eda7 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -3544,7 +3544,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 11, @@ -3598,7 +3598,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -3645,7 +3645,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 13, @@ -3734,7 +3734,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -3774,7 +3774,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -3806,6 +3806,212 @@ "la période de ces oscillations est d'environ 1 an.\n", "l'amplidue des oscillations est de +/- 3 ppm." ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([2.8 , 2.8 , 2.82, 2.82, 2.84, 2.85, 2.86, 2.87, 2.88, 2.88, 2.89,\n", + " 2.9 , 2.92, 2.93, 2.93, 2.94, 2.96, 2.97, 2.98, 2.99, 2.99, 3. ,\n", + " 3.02, 3.02, 3.04, 3.05, 3.05, 3.07, 3.08, 3.09, 3.1 , 3.11, 3.12,\n", + " 3.13, 3.13, 3.15, 3.16, 3.17, 3.18, 3.19, 3.2 , 3.21, 3.22, 3.23,\n", + " 3.24, 3.24, 3.26, 3.27, 3.28, 3.29, 3.3 , 3.31, 3.32, 3.33, 3.34,\n", + " 3.35, 3.36, 3.37, 3.38, 3.39, 3.4 , 3.41, 0.04])" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x=data['Date Excel'].values\n", + "a=data['seasonnal_diff'].values\n", + "i_locmax=np.r_[True, a[1:] > a[:-1]] & np.r_[a[:-1] > a[1:], True]\n", + "a[i_locmax]" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(x,a)\n", + "plt.plot(x[i_locmax],a[i_locmax])" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True True True\n", + " True True False False False False False True True True]\n", + "[False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False False False\n", + " False False True True True True True False False False]\n" + ] + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": {