diff --git a/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb b/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
index 6ab58e8..ac00986 100644
--- a/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
+++ b/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
@@ -116,7 +116,7 @@
     "# We could have also done this with two separate calls to `ax.bar` and numpy boolean indexing.\n",
     "for bar, height in zip(vert_bars, y):\n",
     "    if height < 0:\n",
-    "        bar.set(edgecolor='darkred', color='salmon', linewidth=3)\n",
+    "        bar.set(color='salmon', edgecolor='darkred', linewidth=3)\n",
     "\n",
     "plt.show()"
    ]
@@ -305,7 +305,7 @@
    "outputs": [],
    "source": [
     "from matplotlib.cbook import get_sample_data\n",
-    "data = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))\n",
+    "data = np.load('assets/bivariate_normal.npy')\n",
     "\n",
     "fig, ax = plt.subplots()\n",
     "im = ax.imshow(data, cmap='gist_earth')\n",
@@ -370,7 +370,7 @@
    "outputs": [],
    "source": [
     "from matplotlib.cbook import get_sample_data\n",
-    "data = np.load(get_sample_data('axes_grid/bivariate_normal.npy'))\n",
+    "data = np.load('assets/bivariate_normal.npy')\n",
     "\n",
     "fig, ax = plt.subplots()\n",
     "im = ax.imshow(data, cmap='seismic')\n",
@@ -462,7 +462,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,
diff --git a/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb b/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb
index d7bbf0e..e3c93fe 100644
--- a/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb
+++ b/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb
@@ -102,17 +102,17 @@
     "# Markers\n",
     "[Markers](http://matplotlib.org/api/markers_api.html) are commonly used in [`plot()`](http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot) and [`scatter()`](http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter) plots, but also show up elsewhere. There is a wide set of markers available, and custom markers can even be specified.\n",
     "\n",
-    "marker     |  description  ||marker    |  description  ||marker    |  description  ||marker    |  description  \n",
-    ":----------|:--------------||:---------|:--------------||:---------|:--------------||:---------|:--------------\n",
-    "\".\"        |  point        ||\"+\"       |  plus         ||\",\"       |  pixel        ||\"x\"       |  cross\n",
-    "\"o\"        |  circle       ||\"D\"       |  diamond      ||\"d\"       |  thin_diamond ||          |\n",
-    "\"8\"        |  octagon      ||\"s\"       |  square       ||\"p\"       |  pentagon     ||\"\\*\"      |  star\n",
-    "\"&#124;\"   |  vertical line||\"\\_\"      | horizontal line ||\"h\"     |  hexagon1     ||\"H\"       |  hexagon2\n",
-    "0          |  tickleft     ||4         |  caretleft    ||\"<\"       | triangle_left ||\"3\"       |  tri_left\n",
-    "1          |  tickright    ||5         |  caretright   ||\">\"       | triangle_right||\"4\"       |  tri_right\n",
-    "2          |  tickup       ||6         |  caretup      ||\"^\"       | triangle_up   ||\"2\"       |  tri_up\n",
-    "3          |  tickdown     ||7         |  caretdown    ||\"v\"       | triangle_down ||\"1\"       |  tri_down\n",
-    "\"None\"     |  nothing      ||`None`    |  default       ||\" \"       |  nothing      ||\"\"        |  nothing"
+    "marker     |  description  | marker    |  description    | marker   |  description  | marker    |  description  \n",
+    ":----------|:--------------|:----------|:----------------|:---------|:--------------|:----------|:--------------\n",
+    "\".\"        |  point        | \"+\"       |  plus           | \",\"      |  pixel        | \"x\"       |  cross\n",
+    "\"o\"        |  circle       | \"D\"       |  diamond        | \"d\"      |  thin_diamond |           |\n",
+    "\"8\"        |  octagon      | \"s\"       |  square         | \"p\"      |  pentagon     | \"\\*\"      |  star\n",
+    "\"&#124;\"   |  vertical line| \"\\_\"      | horizontal line |  \"h\"     |  hexagon1     | \"H\"       |  hexagon2\n",
+    "0          |  tickleft     | 4         |  caretleft      | \"<\"      | triangle_left | \"3\"       |  tri_left\n",
+    "1          |  tickright    | 5         |  caretright     | \">\"      | triangle_right| \"4\"       |  tri_right\n",
+    "2          |  tickup       | 6         |  caretup        | \"^\"      | triangle_up   | \"2\"       |  tri_up\n",
+    "3          |  tickdown     | 7         |  caretdown      | \"v\"      | triangle_down | \"1\"       |  tri_down\n",
+    "\"None\"     |  nothing      | `None`    |  default        | \" \"      |  nothing      | \"\"        |  nothing"
    ]
   },
   {
@@ -512,8 +512,8 @@
    "source": [
     "mpl.rc('axes', prop_cycle=cycler('color', ['r', 'orange', 'c', 'y']) +\n",
     "                          cycler('hatch', ['x', 'xx-', '+O.', '*']))\n",
-    "x = np.array([0.4, 0.2, 0.5, 0.8, 0.6])\n",
-    "y = [0, -5, -6, -5, 0]\n",
+    "x = np.array([0.7, 0.3, 0.385, 0.6153, 0.7, np.nan, 0.6, 0.4, 0.2, 0.5, 0.8, 0.6])\n",
+    "y = [0.65, 0.65, 0.1, 0.1, 0.65, np.nan, 0, 0, -5, -6, -5, 0]\n",
     "plt.fill(x+1, y)\n",
     "plt.fill(x+2, y)\n",
     "plt.fill(x+3, y)\n",
@@ -607,9 +607,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 2
 }
diff --git a/assets/bivariate_normal.npy b/assets/bivariate_normal.npy
new file mode 100644
index 0000000..b6b8dac
Binary files /dev/null and b/assets/bivariate_normal.npy differ
diff --git a/solutions/2.2-vmin_vmax_imshow_and_colorbars.py b/solutions/2.2-vmin_vmax_imshow_and_colorbars.py
index 2bc76a8..208e6ea 100644
--- a/solutions/2.2-vmin_vmax_imshow_and_colorbars.py
+++ b/solutions/2.2-vmin_vmax_imshow_and_colorbars.py
@@ -15,6 +15,7 @@
 
 # Now you're on your own!
 for ax, data in zip(axes, [data1, data2, data3]):
+    # Display data, explicitly making the colormap cover values from 0 to 3
     im = ax.imshow(data, vmin=0, vmax=3, interpolation='nearest')
 
 fig.colorbar(im, cax=cax, orientation='horizontal')