Update notebook.ipynb

Fixed broken 08-data-preparation notebook.ipynb

2-Working-With-Data/08-data-preparation/notebook.ipynb

@@ -692,12 +692,6 @@
         }
       ]
 
-          "execution_count": 6
-        }
-      ],
-      "metadata": {
-        "trusted": false
-      }
 
     },
     {
@@ -820,13 +814,6 @@
         }
       ]
 
-          "execution_count": 9
-        }
-      ],
-      "metadata": {
-        "trusted": false
-      }
-
     },
     {
       "cell_type": "markdown",
@@ -849,7 +836,6 @@
         "outputId": "fa06495a-0930-4867-87c5-6023031ea8b5"
       },
 
-      "execution_count": 10,
 
       "source": [
         "example2 = np.array([2, np.nan, 6, 8]) \n",
@@ -870,12 +856,6 @@
           "execution_count": 13
         }
       ]
-          "execution_count": 10
-        }
-      ],
-      "metadata": {
-        "trusted": false
-      }
 
     },
     {
@@ -900,12 +880,7 @@
         "collapsed": true,
         "trusted": false,
         "id": "yan3QRaOgRr_"
-      },
-      "source": [
-        "# What happens if you add np.nan and None together?\n"
-      ],
-      "execution_count": 14,
-      "outputs": []
+      }
     },
     {
       "cell_type": "markdown",
@@ -1590,13 +1565,7 @@
         "collapsed": true,
         "trusted": false,
         "id": "ExUwQRxpgRsF"
-      },
-      "source": [
-        "# How might you go about dropping just column 3?\n",
-        "# Hint: remember that you will need to supply both the axis parameter and the how parameter.\n"
-      ],
-      "execution_count": 26,
-      "outputs": []
+      }
     },
     {
       "cell_type": "markdown",