Smaller figure grid, remove tics from bar plots.

samples/core/tutorials/keras/basic_classification.ipynb

@@ -541,9 +541,6 @@
       },
       "cell_type": "code",
       "source": [
-        "import matplotlib.pyplot as plt\n",
-        "%matplotlib inline\n",
-        "\n",
         "plt.figure(figsize=(10,10))\n",
         "for i in range(25):\n",
         "    plt.subplot(5,5,i+1)\n",
@@ -882,6 +879,8 @@
         "\n",
         "def plot_value_array(predictions_array, true_label):\n",
         "  plt.grid('off')\n",
+        "  plt.xticks([])\n",
+        "  plt.yticks([])\n",
         "  thisplot = plt.bar(range(10), predictions_array, color=\"#777777\")\n",
         "  plt.ylim([0, 1]) \n",
         "  predicted_label = np.argmax(predictions_array)\n",
@@ -961,16 +960,15 @@
       "source": [
         "# Plot the first X test images, their predicted label, and the true label\n",
         "# Color correct predictions in blue, incorrect predictions in red\n",
-        "num_images = int(50)\n",
-        "plt.figure(figsize=(24,20))\n",
+        "num_rows = 5\n",
+        "num_cols = 3\n",
+        "num_images = num_rows*num_cols\n",
+        "plt.figure(figsize=(2*2*num_cols, 2*num_rows))\n",
         "for i in range(num_images):\n",
-        "    plt.subplot(10,num_images / 5,2*i+1)\n",
-        "    plot_image(predictions[i], test_labels[i], test_images[i])\n",
-        "    \n",
-        "    plt.subplot(10,num_images / 5,2*i+2)\n",
-        "    plt.xticks([])\n",
-        "    plt.yticks([])\n",
-        "    plot_value_array(predictions[i], test_labels[i])"
+        "  plt.subplot(num_rows, 2*num_cols, 2*i+1)\n",
+        "  plot_image(predictions[i], test_labels[i], test_images[i])\n",
+        "  plt.subplot(num_rows, 2*num_cols, 2*i+2)\n",
+        "  plot_value_array(predictions[i], test_labels[i])\n",
       ],
       "execution_count": 0,
       "outputs": []