Word Cloud.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Project - Word Cloud"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this project, you'll create a \"word cloud\" from a text by writing a script.  This script needs to process the text, remove punctuation, ignore case and words that do not contain all alphabets, count the frequencies, and ignore uninteresting or irrelevant words.  A dictionary is the output of the `calculate_frequencies` function.  The `wordcloud` module will then generate the image from your dictionary."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the input text of your script, you will need to provide a file that contains text only.  For the text itself, you can copy and paste the contents of a website you like.  Or you can use a site like [Project Gutenberg](https://www.gutenberg.org/) to find books that are available online.  You could see what word clouds you can get from famous books, like a Shakespeare play or a novel by Jane Austen. Save this as a .txt file somewhere on your computer.\n",
    "<br><br>\n",
    "Now you will need to upload your input file here so that your script will be able to process it.  To do the upload, you will need an uploader widget.  Run the following cell to perform all the installs and imports for your word cloud script and uploader widget.  It may take a minute for all of this to run and there will be a lot of output messages. But, be patient. Once you get the following final line of output, the code is done executing. Then you can continue on with the rest of the instructions for this notebook.\n",
    "<br><br>\n",
    "**Enabling notebook extension fileupload/extension...**\n",
    "<br>\n",
    "**- Validating: <font color =green>OK</font>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Installing C:\\Users\\ASUS\\Anaconda3\\envs\\tf-gpu\\lib\\site-packages\\fileupload\\static -> fileupload\n",
      "Up to date: C:\\Users\\ASUS\\AppData\\Roaming\\jupyter\\nbextensions\\fileupload\\extension.js\n",
      "Up to date: C:\\Users\\ASUS\\AppData\\Roaming\\jupyter\\nbextensions\\fileupload\\widget.js\n",
      "Up to date: C:\\Users\\ASUS\\AppData\\Roaming\\jupyter\\nbextensions\\fileupload\\fileupload\\widget.js\n",
      "- Validating: ok\n",
      "\n",
      "    To initialize this nbextension in the browser every time the notebook (or other app) loads:\n",
      "    \n",
      "          jupyter nbextension enable fileupload --user --py\n",
      "    \n",
      "Enabling notebook extension fileupload/extension...\n",
      "      - Validating: ok\n"
     ]
    }
   ],
   "source": [
    "# Here are all the installs and imports you will need for your word cloud script and uploader widget\n",
    "\n",
    "!pip install wordcloud\n",
    "!pip install fileupload\n",
    "!pip install ipywidgets\n",
    "!jupyter nbextension install --py --user fileupload\n",
    "!jupyter nbextension enable --py fileupload\n",
    "\n",
    "import wordcloud\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import display\n",
    "import fileupload\n",
    "import io\n",
    "import sys"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Whew! That was a lot. All of the installs and imports for your word cloud script and uploader widget have been completed. \n",
    "<br><br>\n",
    "**IMPORTANT!** If this was your first time running the above cell containing the installs and imports, you will need save this notebook now. Then under the File menu above,  select Close and Halt. When the notebook has completely shut down, reopen it. This is the only way the necessary changes will take affect.\n",
    "<br><br>\n",
    "To upload your text file, run the following cell that contains all the code for a custom uploader widget. Once you run this cell, a \"Browse\" button should appear below it. Click this button and navigate the window to locate your saved text file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "13858f083fbe4bf4b83ae514f3ca6ca7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "FileUploadWidget(label='Browse', _dom_classes=('widget_item', 'btn-group'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Uploaded `regex_sum_424473.txt` (28.51 kB)\n"
     ]
    }
   ],
   "source": [
    "# This is the uploader widget\n",
    "\n",
    "def _upload():\n",
    "\n",
    "    _upload_widget = fileupload.FileUploadWidget()\n",
    "\n",
    "    def _cb(change):\n",
    "        global file_contents\n",
    "        decoded = io.StringIO(change['owner'].data.decode('utf-8'))\n",
    "        filename = change['owner'].filename\n",
    "        print('Uploaded `{}` ({:.2f} kB)'.format(\n",
    "            filename, len(decoded.read()) / 2 **10))\n",
    "        file_contents = decoded.getvalue()\n",
    "\n",
    "    _upload_widget.observe(_cb, names='data')\n",
    "    display(_upload_widget)\n",
    "\n",
    "_upload()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The uploader widget saved the contents of your uploaded file into a string object named *file_contents* that your word cloud script can process. This was a lot of preliminary work, but you are now ready to begin your script. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Write a function in the cell below that iterates through the words in *file_contents*, removes punctuation, and counts the frequency of each word.  Oh, and be sure to make it ignore word case, words that do not contain all alphabets and boring words like \"and\" or \"the\".  Then use it in the `generate_from_frequencies` function to generate your very own word cloud!\n",
    "<br><br>\n",
    "**Hint:** Try storing the results of your iteration in a dictionary before passing them into wordcloud via the `generate_from_frequencies` function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_frequencies(file_contents):\n",
    "    # Here is a list of punctuations and uninteresting words you can use to process your text\n",
    "    punctuations = '''!()-[]{};:'\"\\,<>./?@#$%^&*_~'''\n",
    "    uninteresting_words = [\"the\", \"a\", \"to\", \"if\", \"is\", \"it\", \"of\", \"and\", \"or\", \"an\", \"as\", \"i\", \"me\", \"my\", \\\n",
    "    \"we\", \"our\", \"ours\", \"you\", \"your\", \"yours\", \"he\", \"she\", \"him\", \"his\", \"her\", \"hers\", \"its\", \"they\", \"them\", \\\n",
    "    \"their\", \"what\", \"which\", \"who\", \"whom\", \"this\", \"that\", \"am\", \"are\", \"was\", \"were\", \"be\", \"been\", \"being\", \\\n",
    "    \"have\", \"has\", \"had\", \"do\", \"does\", \"did\", \"but\", \"at\", \"by\", \"with\", \"from\", \"here\", \"when\", \"where\", \"how\", \\\n",
    "    \"all\", \"any\", \"both\", \"each\", \"few\", \"more\", \"some\", \"such\", \"no\", \"nor\", \"too\", \"very\", \"can\", \"will\", \"just\"]\n",
    "    \n",
    "    # LEARNER CODE START HERE\n",
    "    result = {}\n",
    "    a = file_contents.split()\n",
    "    for word in a:\n",
    "        if word in uninteresting_words:\n",
    "            pass\n",
    "        else:\n",
    "            for letter in word:\n",
    "                if letter in punctuations:\n",
    "                    letter.replace(punctuations,\"\")\n",
    "            if word not in result.keys():\n",
    "                result[word]=0\n",
    "            else:\n",
    "                result[word]+=1  \n",
    "    \n",
    "    \n",
    "    #wordcloud\n",
    "    cloud = wordcloud.WordCloud()\n",
    "    cloud.generate_from_frequencies(result)\n",
    "    return cloud.to_array()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have done everything correctly, your word cloud image should appear after running the cell below.  Fingers crossed!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display your wordcloud image\n",
    "\n",
    "myimage = calculate_frequencies(file_contents)\n",
    "plt.imshow(myimage, interpolation = 'nearest')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If your word cloud image did not appear, go back and rework your `calculate_frequencies` function until you get the desired output.  Definitely check that you passed your frequecy count dictionary into the `generate_from_frequencies` function of `wordcloud`. Once you have correctly displayed your word cloud image, you are all done with this project. Nice work!"
   ]
  }
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