diff --git a/site/en/tutorials/structured_data/time_series.ipynb b/site/en/tutorials/structured_data/time_series.ipynb
index ef16f56e628..8957df513b7 100644
--- a/site/en/tutorials/structured_data/time_series.ipynb
+++ b/site/en/tutorials/structured_data/time_series.ipynb
@@ -181,12 +181,8 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 0,
-      "metadata": {
-        "colab": {},
-        "colab_type": "code",
-        "id": "7AoxQuTrWIbi"
-      },
+      "execution_count": null,
+      "metadata": {},
       "outputs": [],
       "source": [
         "def univariate_data(dataset, start_index, end_index, history_size, target_size):\n",
@@ -201,7 +197,7 @@
         "    indices = range(i-history_size, i)\n",
         "    # Reshape data from (history_size,) to (history_size, 1)\n",
         "    data.append(np.reshape(dataset[indices], (history_size, 1)))\n",
-        "    labels.append(dataset[i+target_size])\n",
+        "    labels.append(dataset[i + target_size])\n",
         "  return np.array(data), np.array(labels)"
       ]
     },
@@ -312,7 +308,7 @@
       },
       "outputs": [],
       "source": [
-        "uni_data = uni_data.values"
+        "uni_data = uni_data.to_numpy()"
       ]
     },
     {
@@ -322,8 +318,7 @@
         "id": "-eFckdUUHWmT"
       },
       "source": [
-        "It is important to scale features before training a neural network. Standardization is a common way of doing this scaling by subtracting the mean and dividing by the standard deviation of each feature.",
-        "You could also use a `tf.keras.utils.normalize` method that rescales the values into a range of [0,1]."
+        "It is important to scale features before training a neural network. Standardization is a common way of doing this scaling by subtracting the mean and dividing by the standard deviation of each feature.You could also use a `tf.keras.utils.normalize` method that rescales the values into a range of [0,1]."
       ]
     },
     {
@@ -1333,6 +1328,7 @@
     },
     "kernelspec": {
       "display_name": "Python 3",
+      "language": "python",
       "name": "python3"
     }
   },