fix: nb issues being valid (#655)

capitalone · Sep 20, 2022 · a432ef9 · a432ef9
1 parent ace0e52
commit a432ef9
Showing 1 changed file with 25 additions and 28 deletions.
diff --git a/examples/graph_data_demo.ipynb b/examples/graph_data_demo.ipynb
@@ -2,15 +2,13 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "228bb2a6",
    "metadata": {},
    "source": [
     "# Graph Pipeline Demo"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "cab7a569",
    "metadata": {},
    "source": [
     "DataProfiler can also load and profile graph datasets. Similarly to the rest of DataProfiler profilers, this is split into two components:\n",
@@ -142,71 +140,72 @@
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "## Saving and Loading a Profile\n",
     "Below you will see an example of how a Graph Profile can be saved and loaded again."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# The default save filepath is profile-<datetime>.pkl\n",
     "profile.save(filepath=\"profile.pkl\")\n",
     "\n",
     "new_profile = dp.GraphProfiler.load(\"profile.pkl\")\n",
     "new_report = new_profile.report()"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "pp.pprint(report)"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "## Difference in Data\n",
     "If we wanted to ensure that this new profile was the same as the previous profile that we loaded, we could compare them using the diff functionality."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "diff = profile.diff(new_profile)"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "pp.pprint(diff)"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Another use for diff might be to provide differences between training and testing profiles as shown in the cell below.\n",
     "We will use the profile above as the training profile and create a new profile to represent the testing profile"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "training_profile = profile\n",
@@ -215,38 +214,37 @@
     "testing_profile = dp.Profiler(testing_data)\n",
     "\n",
     "test_train_diff = training_profile.diff(testing_profile)"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Below you can observe the difference between the two profiles."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": [
     "pp.pprint(test_train_diff)"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "## Conclusion"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "We have shown the graph pipeline in the DataProfiler. It works similarly to the current DataProfiler implementation."
-   ],
-   "metadata": {}
+   ]
   }
  ],
  "metadata": {
@@ -266,8 +264,7 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.8.13"
-  },
-  "orig_nbformat": 4
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2