From 86ba4e740695125d59eb4f2060dda6d5dcd49676 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Shan=C3=A9=20Winner?=
 <43390034+swinner95@users.noreply.github.com>
Date: Sun, 28 Jul 2019 00:24:54 -0700
Subject: [PATCH] Delete open-save-dataflows.ipynb

---
 .../how-to-guides/open-save-dataflows.ipynb   | 172 ------------------
 1 file changed, 172 deletions(-)
 delete mode 100644 how-to-use-azureml/work-with-data/dataprep/how-to-guides/open-save-dataflows.ipynb

diff --git a/how-to-use-azureml/work-with-data/dataprep/how-to-guides/open-save-dataflows.ipynb b/how-to-use-azureml/work-with-data/dataprep/how-to-guides/open-save-dataflows.ipynb
deleted file mode 100644
index b401ae9b..00000000
--- a/how-to-use-azureml/work-with-data/dataprep/how-to-guides/open-save-dataflows.ipynb
+++ /dev/null
@@ -1,172 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "![Impressions](https://PixelServer20190423114238.azurewebsites.net/api/impressions/MachineLearningNotebooks/how-to-use-azureml/work-with-data/dataprep/how-to-guides/open-save-dataflows.png)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "# Opening and Saving Dataflows\n",
-        "Copyright (c) Microsoft Corporation. All rights reserved.<br>\n",
-        "Licensed under the MIT License."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Once you have built a Dataflow, you can save it to a `.dprep` file. This persists all of the information in your Dataflow including steps you've added, examples and programs from by-example steps, computed aggregations, etc.\n",
-        "\n",
-        "You can also open `.dprep` files to access any Dataflows you have previously persisted."
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Open\n",
-        "\n",
-        "Use the `open()` method of the Dataflow class to load existing `.dprep` files."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import os\n",
-        "dflow_path = os.path.join(os.getcwd(), '..', 'data', 'crime.dprep')\n",
-        "print(dflow_path)"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "from azureml.dataprep import Dataflow"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "dflow = Dataflow.open(dflow_path)\n",
-        "head = dflow.head(5)\n",
-        "head"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Edit\n",
-        "\n",
-        "After a Dataflow is loaded, it can be further edited as needed. In this example, a filter is added."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "from azureml.dataprep import col"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "dflow = dflow.filter(col('Description') != 'SIMPLE')\n",
-        "head = dflow.head(5)\n",
-        "head"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Save\n",
-        "\n",
-        "Use the `save()` method of the Dataflow class to write out the `.dprep` file."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "import tempfile\n",
-        "temp_dir = tempfile._get_default_tempdir()\n",
-        "temp_file_name = next(tempfile._get_candidate_names())\n",
-        "temp_dflow_path = os.path.join(temp_dir, temp_file_name + '.dprep')"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "dflow.save(temp_dflow_path)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "## Round-trip\n",
-        "\n",
-        "This illustrates the ability to load the edited Dataflow back in and use it, in this case to get a pandas DataFrame."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "dflow_to_open = Dataflow.open(temp_dflow_path)\n",
-        "df = dflow_to_open.to_pandas_dataframe()\n",
-        "df"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": [
-        "if os.path.isfile(temp_dflow_path):\n",
-        "    os.remove(temp_dflow_path)"
-      ]
-    }
-  ],
-  "metadata": {
-    "authors": [
-      {
-        "name": "sihhu"
-      }
-    ],
-    "kernelspec": {
-      "display_name": "Python 3.6",
-      "language": "python",
-      "name": "python36"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 2
-}
\ No newline at end of file