Skip to content

M
mooc-rr
Commit 771f8ccb authored by b3aa0ec81e45dead1a850edb934ee5a2's avatar b3aa0ec81e45dead1a850edb934ee5a2
Browse files
Options

no commit message

parent 476e45a8
Hide whitespace changes
Inline Side-by-side
Showing with 44 additions and 38 deletions
module2/exo5/exo5_fr.ipynb
View file @ 771f8ccb
...@@ -40,7 +40,7 @@ ...@@ -40,7 +40,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 4,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
...@@ -261,33 +261,33 @@ ...@@ -261,33 +261,33 @@
"</div>" "</div>"
], ],
"text/plain": [ "text/plain": [
" Date Count Temperature Pressure Malfunction\n", " Date Count Temperature Pressure Malfunction\n",
"0 4/12/81 6 66 50 0\n", "0 4/12/81 6 66 50 0\n",
"1 11/12/81 6 70 50 1\n", "1 11/12/81 6 70 50 1\n",
"2 3/22/82 6 69 50 0\n", "2 3/22/82 6 69 50 0\n",
"3 11/11/82 6 68 50 0\n", "3 11/11/82 6 68 50 0\n",
"4 4/04/83 6 67 50 0\n", "4 4/04/83 6 67 50 0\n",
"5 6/18/82 6 72 50 0\n", "5 6/18/82 6 72 50 0\n",
"6 8/30/83 6 73 100 0\n", "6 8/30/83 6 73 100 0\n",
"7 11/28/83 6 70 100 0\n", "7 11/28/83 6 70 100 0\n",
"8 2/03/84 6 57 200 1\n", "8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n", "9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n", "10 8/30/84 6 70 200 1\n",
"11 10/05/84 6 78 200 0\n", "11 10/05/84 6 78 200 0\n",
"12 11/08/84 6 67 200 0\n", "12 11/08/84 6 67 200 0\n",
"13 1/24/85 6 53 200 2\n", "13 1/24/85 6 53 200 2\n",
"14 4/12/85 6 67 200 0\n", "14 4/12/85 6 67 200 0\n",
"15 4/29/85 6 75 200 0\n", "15 4/29/85 6 75 200 0\n",
"16 6/17/85 6 70 200 0\n", "16 6/17/85 6 70 200 0\n",
"17 7/29/85 6 81 200 0\n", "17 7/29/85 6 81 200 0\n",
"18 8/27/85 6 76 200 0\n", "18 8/27/85 6 76 200 0\n",
"19 10/03/85 6 79 200 0\n", "19 10/03/85 6 79 200 0\n",
"20 10/30/85 6 75 200 2\n", "20 10/30/85 6 75 200 2\n",
"21 11/26/85 6 76 200 0\n", "21 11/26/85 6 76 200 0\n",
"22 1/12/86 6 58 200 1" "22 1/12/86 6 58 200 1"
] ]
}, },
"execution_count": 1, "execution_count": 4,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -605,20 +605,19 @@ ...@@ -605,20 +605,19 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "ename": "NameError",
"image/png": "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\n", "evalue": "name 'pd' is not defined",
"text/plain": [ "output_type": "error",
"<Figure size 432x288 with 1 Axes>" "traceback": [
] "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
}, "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"metadata": { "\u001b[0;32m<ipython-input-3-5eb052195340>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'matplotlib'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'inline'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdata_pred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m'Temperature'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstop\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m90\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnum\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m121\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Intercept'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mdata_pred\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Frequency'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlogmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata_pred\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Intercept'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m'Temperature'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mdata_pred\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Temperature\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Frequency\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"line\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mylim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Temperature\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Frequency\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"needs_background": "light" "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
}, ]
"output_type": "display_data"
} }
], ],
"source": [ "source": [
...@@ -630,6 +629,13 @@ ...@@ -630,6 +629,13 @@
"plt.grid(True)" "plt.grid(True)"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
...@@ -705,7 +711,7 @@ ...@@ -705,7 +711,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.7.3" "version": "3.6.4"
} }
}, },
"nbformat": 4, "nbformat": 4,
......
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