extend notebook coverage

sdpython · Dec 17, 2017 · a00a68d · a00a68d
1 parent 29a151e
commit a00a68d
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Showing 6 changed files with 71 additions and 169 deletions.
diff --git a/_doc/notebooks/examen/solution_2016.ipynb b/_doc/notebooks/examen/solution_2016.ipynb
@@ -17,9 +17,7 @@
     {
       "cell_type": "code",
       "execution_count": 1,
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+      "metadata": {},
       "outputs": [
         {
           "name": "stdout",
@@ -181,9 +179,7 @@
     {
       "cell_type": "code",
       "execution_count": 2,
-      "metadata": {
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+      "metadata": {},
       "outputs": [
         {
           "name": "stdout",
@@ -216,9 +212,7 @@
     {
       "cell_type": "code",
       "execution_count": 3,
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-        "collapsed": false
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+      "metadata": {},
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@@ -253,9 +247,7 @@
     {
       "cell_type": "code",
       "execution_count": 4,
-      "metadata": {
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+      "metadata": {},
       "outputs": [
         {
           "ename": "IndexError",
@@ -292,9 +284,7 @@
     {
       "cell_type": "code",
       "execution_count": 5,
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+      "metadata": {},
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         {
           "name": "stdout",
@@ -358,9 +348,7 @@
     {
       "cell_type": "code",
       "execution_count": 6,
-      "metadata": {
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+      "metadata": {},
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           "data": {
@@ -443,9 +431,7 @@
     {
       "cell_type": "code",
       "execution_count": 7,
-      "metadata": {
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@@ -536,9 +522,7 @@
     {
       "cell_type": "code",
       "execution_count": 8,
-      "metadata": {
-        "collapsed": false
-      },
+      "metadata": {},
       "outputs": [],
       "source": [
         "import pandas\n",
@@ -568,9 +552,7 @@
     {
       "cell_type": "code",
       "execution_count": 9,
-      "metadata": {
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-      },
+      "metadata": {},
       "outputs": [
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           "data": {
@@ -686,6 +668,7 @@
         }
       ],
       "source": [
+        "import numpy\n",
         "res = df.groupby(\"AGE\").agg({\"LIMIT_BAL\": (min, max, numpy.mean),\n",
         "                        \"ID\":len,\n",
         "                        \"default payment next month\": (min, max, numpy.mean)})\n",
@@ -704,9 +687,7 @@
     {
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       "execution_count": 10,
-      "metadata": {
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+      "metadata": {},
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           "data": {
@@ -858,9 +839,7 @@
     {
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       "execution_count": 11,
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@@ -1000,9 +979,7 @@
     {
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       "execution_count": 12,
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@@ -1171,9 +1148,7 @@
     {
       "cell_type": "code",
       "execution_count": 13,
-      "metadata": {
-        "collapsed": false
-      },
+      "metadata": {},
       "outputs": [
         {
           "data": {
@@ -1235,9 +1210,9 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.5.2"
+      "version": "3.6.3"
     }
   },
   "nbformat": 4,
-  "nbformat_minor": 0
+  "nbformat_minor": 1
 }