Update notebooks to latest nbformat

tools_pandas.ipynb

@@ -1756,9 +1756,7 @@
   {
    "cell_type": "code",
    "execution_count": 97,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "grades >= 5"
@@ -1978,9 +1976,7 @@
   {
    "cell_type": "code",
    "execution_count": 110,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "bonus_points.interpolate(axis=1)"
@@ -2242,9 +2238,7 @@
   {
    "cell_type": "code",
    "execution_count": 125,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "much_data = np.fromfunction(lambda x,y: (x+y*y)%17*11, (10000, 26))\n",
@@ -2264,9 +2258,7 @@
   {
    "cell_type": "code",
    "execution_count": 126,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "large_df.head()"
@@ -2298,9 +2290,7 @@
   {
    "cell_type": "code",
    "execution_count": 128,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "large_df.info()"
@@ -2322,9 +2312,7 @@
   {
    "cell_type": "code",
    "execution_count": 129,
-   "metadata": {
-    "scrolled": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "large_df.describe()"
@@ -2775,9 +2763,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "source": [
     "# What next?\n",
     "As you probably noticed by now, pandas is quite a large library with *many* features. Although we went through the most important features, there is still a lot to discover. Probably the best way to learn more is to get your hands dirty with some real-life data. It is also a good idea to go through pandas' excellent [documentation](http://pandas.pydata.org/pandas-docs/stable/index.html), in particular the [Cookbook](http://pandas.pydata.org/pandas-docs/stable/cookbook.html)."
@@ -2807,7 +2793,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.6"
   },
   "toc": {
    "toc_cell": false,
@@ -2818,5 +2804,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
 }