matplotlib
diff --git a/‎AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
Lines changed: 35 additions & 3 deletions b/‎AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb
Lines changed: 35 additions & 3 deletions
diff --git a/‎assets/bivariate_normal.npy
1.84 KB b/‎assets/bivariate_normal.npy
1.84 KB
@@ -269,6 +269,38 @@
     "# Now you're on your own!\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "np.random.seed(1)\n",
+    "\n",
+    "# Generate data...\n",
+    "y_raw = np.random.randn(1000).cumsum() + 15\n",
+    "x_raw = np.linspace(0, 24, y_raw.size)\n",
+    "\n",
+    "# Get averages of every 100 samples...\n",
+    "x_pos = x_raw.reshape(-1, 100).min(axis=1)\n",
+    "y_avg = y_raw.reshape(-1, 100).mean(axis=1)\n",
+    "y_err = y_raw.reshape(-1, 100).ptp(axis=1)\n",
+    "\n",
+    "bar_width = x_pos[1] - x_pos[0]\n",
+    "\n",
+    "# Make a made up future prediction with a fake confidence\n",
+    "x_pred = np.linspace(0, 30)\n",
+    "y_max_pred = y_avg[0] + y_err[0] + 2.3 * x_pred\n",
+    "y_min_pred = y_avg[0] - y_err[0] + 1.2 * x_pred\n",
+    "\n",
+    "# Just so you don't have to guess at the colors...\n",
+    "barcolor, linecolor, fillcolor = 'wheat', 'salmon', 'lightblue'\n",
+    "\n",
+    "# Now you're on your own!\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -305,7 +337,7 @@
    "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 +402,7 @@
    "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 +494,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.6"
   }
  },
  "nbformat": 4,