verilog-fetch-big-query.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3ef77e08-512a-4513-a8b1-6ce23b6b77a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "57e1e3cf-6fa6-438f-b6be-2353e7ffa616",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "#https://stackoverflow.com/questions/36183486/importerror-no-module-named-google\n",
    "\n",
    "%load_ext google.cloud.bigquery"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "48676cf4-1f68-4c4f-8b4f-5350a353f615",
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.cloud import bigquery\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8221481b-d975-46c0-8cc2-09da9a4bab3d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Your credentials to google cloud\n",
    "os.environ[\"GOOGLE_APPLICATION_CREDENTIALS\"]=r\"my-project-348716-29f69b900233.json\"\n",
    "# git token\n",
    "TOKEN = \"\"  # Replace with your token\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f588c6f4-78e4-4bb1-a705-7875c8f3c417",
   "metadata": {},
   "outputs": [],
   "source": [
    "bqclient = bigquery.Client()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b5240cff-2c08-4788-a192-3f543aca3876",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   answer_id                                               body\n",
      "0   56573639  <p>I replaced the Verilog module with a System...\n",
      "1   56465607  <p>This is an unimplemented feature of SystemV...\n",
      "2   56519429  <p>Verilog simulation is event driven. Event i...\n",
      "3   56773222  <p>It is illegal to use Verilog Hierarchical R...\n",
      "4   56860718  <p><code>Div_num_tb</code> has been defined as...\n"
     ]
    }
   ],
   "source": [
    "# Download query results.\n",
    "# query_string = \"\"\"\n",
    "# SELECT\n",
    "# CONCAT(\n",
    "#     'https://stackoverflow.com/questions/',\n",
    "#     CAST(id as STRING)) as url,\n",
    "# view_count\n",
    "# FROM `bigquery-public-data.stackoverflow.posts_questions`\n",
    "# WHERE tags like '%google-bigquery%'\n",
    "# ORDER BY view_count DESC\n",
    "# \"\"\"\n",
    "\n",
    "query_string = \"\"\"\n",
    "SELECT\n",
    "q.tags question_tag, q.id question_id, q.title question_title, q.body question_body, p.id answer_id, p.body\n",
    "FROM `bigquery-public-data.stackoverflow.posts_questions` as q \n",
    "LEFT JOIN `bigquery-public-data.stackoverflow.posts_answers` as p\n",
    "ON p.parent_id = q.id\n",
    "WHERE p.body LIKE '%Verilog%'\n",
    "LIMIT 100000;\n",
    "\"\"\"\n",
    "\n",
    "query_string = \"\"\"\n",
    "SELECT\n",
    "p.id answer_id, p.body FROM `bigquery-public-data.stackoverflow.posts_answers` as p\n",
    "WHERE p.body LIKE '%Verilog%'\n",
    "\"\"\"\n",
    "# where regexp_contains(q.tags, 'Verilog')\n",
    "# WHERE tags like '%Verilog%'\n",
    "dataframe = (\n",
    "    bqclient.query(query_string)\n",
    "    .result()\n",
    "    .to_dataframe(\n",
    "        # Optionally, explicitly request to use the BigQuery Storage API. As of\n",
    "        # google-cloud-bigquery version 1.26.0 and above, the BigQuery Storage\n",
    "        # API is used by default.\n",
    "        create_bqstorage_client=True,\n",
    "    )\n",
    ")\n",
    "print(dataframe.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "116cfa53-f1ed-454a-a096-c78287109a5d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2986, 2)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c2c8856f-a8c8-4922-8a77-6ab36692f834",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_string=\"\"\"\n",
    "SELECT f.repo_name, f.path, c.copies, c.size, c.content\n",
    " FROM `bigquery-public-data.github_repos.files` AS f \n",
    " JOIN `bigquery-public-data.github_repos.contents` AS c \n",
    " ON f.id = c.id \n",
    " WHERE \n",
    " NOT c.binary \n",
    " AND ((f.path LIKE '%.v') \n",
    " AND (c.content LIKE '%endmodule%'\n",
    " OR c.content LIKE '%always%')\n",
    " AND (c.size BETWEEN 10 \n",
    " AND 1048575))\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "10fca84c-e646-465e-9508-fbe97a5b252a",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_string=\"\"\"\n",
    "select q.tags question_tag, q.id question_id, q.title question_title, q.body question_body, a.id answer_id, a.body from `bigquery-public-data.stackoverflow.posts_questions` as q\n",
    "left join\n",
    "`bigquery-public-data.stackoverflow.posts_answers` as a\n",
    "on a.parent_id = q.id\n",
    "where regexp_contains(q.tags, 'Verilog');\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d2e0c047-3473-462c-a704-d538fa2804dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def query(query_string):\n",
    "    \n",
    "    dataframe = (\n",
    "        bqclient.query(query_string)\n",
    "        .result()\n",
    "        .to_dataframe(\n",
    "            # Optionally, explicitly request to use the BigQuery Storage API. As of\n",
    "            # google-cloud-bigquery version 1.26.0 and above, the BigQuery Storage\n",
    "            # API is used by default.\n",
    "            create_bqstorage_client=True,\n",
    "        )\n",
    "    )\n",
    "    print(dataframe.head())\n",
    "    \n",
    "    return dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "72bc95e4-d566-46c3-aeef-b5f86dd40c8a",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'dataframe' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Input \u001b[0;32mIn [7]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mdataframe\u001b[49m\u001b[38;5;241m.\u001b[39mshape\n",
      "\u001b[0;31mNameError\u001b[0m: name 'dataframe' is not defined"
     ]
    }
   ],
   "source": [
    "dataframe.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "09f68c63-5d83-4aa6-9e9c-7f25c42cd655",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataframe.to_csv( '/Volumes/GoogleDrive/My Drive/sg0_workspace/datasets/verilog_github_contains_always_module_multicopies.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b8c6c204-0e8f-4829-a81a-8bb9af50bf68",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataframe.to_csv( '/Volumes/GoogleDrive/My Drive/sg0_workspace/datasets/verilog_github_contains_always_module.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "cfffcec3-2d8e-4a65-af2e-3ea22e1b0ce5",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataframe.to_csv( '/Volumes/GoogleDrive/My Drive/sg0_workspace/datasets/verilog_github_contains_always_or_endmodule.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "42c2855c-323f-476b-a4ef-74c1e7bed80c",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_string= \"\"\"SELECT language\n",
    "            FROM `bigquery-public-data.github_repos.languages`\n",
    "            \n",
    "        \"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fdfec0a1-d745-487c-b996-30c24ba0a5d8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                            language\n",
      "0                     [{'name': 'C', 'bytes': 1466}]\n",
      "1                    [{'name': 'C', 'bytes': 93643}]\n",
      "2  [{'name': 'C', 'bytes': 115}, {'name': 'C#', '...\n",
      "3  [{'name': 'C', 'bytes': 2984677}, {'name': 'C#...\n",
      "4  [{'name': 'C', 'bytes': 260567}, {'name': 'C#'...\n"
     ]
    }
   ],
   "source": [
    "dataframe=query(query_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e2370d57-b06f-4584-8dc8-299e46b37d09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3325634, 1)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3a145cdc-10c2-4a82-9110-b3cf0bc61e38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "language    [{'name': 'Objective-C', 'bytes': 51245}, {'na...\n",
       "Name: 3325633, dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe.iloc[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8bcf01e2-fcbe-48b5-80d9-5dd0f0ad3a37",
   "metadata": {},
   "outputs": [],
   "source": [
    "Languages_count={}\n",
    "for lang in languagesList:\n",
    "    if lang[\"name\"] not in Languages_count:\n",
    "        Languages_count[lang[\"name\"]]=0\n",
    "    Languages_count[lang[\"name\"]]+=1\n",
    "#Languages_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cdd93cc5-00b6-495a-b1ae-89c7746d8144",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.00038102945305371446"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2987/sum(Languages_count.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d4bcab84-a123-4340-b0f2-aa78af92ba88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'name': 'C', 'bytes': 1466},\n",
       " {'name': 'C', 'bytes': 93643},\n",
       " {'name': 'C', 'bytes': 115},\n",
       " {'name': 'C#', 'bytes': 1844},\n",
       " {'name': 'C++', 'bytes': 9653}]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "languagesList=[]\n",
    "for lang in dataframe.language:\n",
    "    languagesList.extend(lang)\n",
    "languagesList[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "81828ab4-8751-45a5-953b-f1289e8e5f7a",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('JavaScript', 1099966),\n",
       " ('CSS', 807826),\n",
       " ('HTML', 777433),\n",
       " ('Shell', 640886),\n",
       " ('Python', 550905),\n",
       " ('Ruby', 374276),\n",
       " ('Java', 369673),\n",
       " ('PHP', 339426),\n",
       " ('C', 293231),\n",
       " ('C++', 277871),\n",
       " ('Makefile', 251366),\n",
       " ('Objective-C', 166961),\n",
       " ('C#', 133110),\n",
       " ('Perl', 101533),\n",
       " ('Batchfile', 97868),\n",
       " ('Go', 91867),\n",
       " ('CoffeeScript', 68589),\n",
       " ('ApacheConf', 68500),\n",
       " ('CMake', 56754),\n",
       " ('TypeScript', 48027),\n",
       " ('Assembly', 47681),\n",
       " ('Swift', 42605),\n",
       " ('Scala', 34562),\n",
       " ('Lua', 34431),\n",
       " ('PowerShell', 33176),\n",
       " ('ASP', 32781),\n",
       " ('XSLT', 32226),\n",
       " ('TeX', 31554),\n",
       " ('Haskell', 30061),\n",
       " ('R', 29356),\n",
       " ('Groovy', 27229),\n",
       " ('Dockerfile', 27176),\n",
       " ('Clojure', 25896),\n",
       " ('Groff', 25635),\n",
       " ('Awk', 20625),\n",
       " ('Arduino', 20424),\n",
       " ('VimL', 18977),\n",
       " ('Objective-C++', 17946),\n",
       " ('Matlab', 17524),\n",
       " ('QMake', 17506),\n",
       " ('Smarty', 17346),\n",
       " ('Jupyter Notebook', 17332),\n",
       " ('Emacs Lisp', 16755),\n",
       " ('Rust', 15907),\n",
       " ('M4', 15776),\n",
       " ('Puppet', 14936),\n",
       " ('Erlang', 14909),\n",
       " ('GLSL', 13904),\n",
       " ('Yacc', 13695),\n",
       " ('Scilab', 13050),\n",
       " ('Lex', 12506),\n",
       " ('Roff', 12132),\n",
       " ('Protocol Buffer', 11668),\n",
       " ('Prolog', 11119),\n",
       " ('Visual Basic', 10464),\n",
       " ('Pascal', 10137),\n",
       " ('SCSS', 9538),\n",
       " ('UnrealScript', 9503),\n",
       " ('PLpgSQL', 9235),\n",
       " ('Vim script', 9233),\n",
       " ('SourcePawn', 9036),\n",
       " ('ActionScript', 8755),\n",
       " ('Vue', 8671),\n",
       " ('Nginx', 8516),\n",
       " ('Tcl', 8131),\n",
       " ('NSIS', 8081),\n",
       " ('Kotlin', 7977),\n",
       " ('Handlebars', 7670),\n",
       " ('Cucumber', 7402),\n",
       " ('Scheme', 7241),\n",
       " ('D', 7196),\n",
       " ('Elixir', 6819),\n",
       " ('Processing', 6774),\n",
       " ('PLSQL', 6752),\n",
       " ('Julia', 5897),\n",
       " ('F#', 5888),\n",
       " ('Dart', 5791),\n",
       " ('Common Lisp', 5682),\n",
       " ('OCaml', 5645),\n",
       " ('Smalltalk', 5589),\n",
       " ('IDL', 5299),\n",
       " ('Perl6', 5279),\n",
       " ('QML', 5251),\n",
       " ('SQLPL', 5121),\n",
       " ('M', 4903),\n",
       " ('Gherkin', 4862),\n",
       " ('Logos', 4502),\n",
       " ('Cuda', 4402),\n",
       " ('Mako', 4336),\n",
       " ('PostScript', 4144),\n",
       " ('GAP', 4091),\n",
       " ('AppleScript', 4086),\n",
       " ('DIGITAL Command Language', 3839),\n",
       " ('Racket', 3766),\n",
       " ('Inno Setup', 3731),\n",
       " ('SuperCollider', 3718),\n",
       " ('FORTRAN', 3716),\n",
       " ('Bison', 3639),\n",
       " ('FreeMarker', 3567),\n",
       " ('Thrift', 3525),\n",
       " ('Hack', 3310),\n",
       " ('Haxe', 3309),\n",
       " ('Gnuplot', 3222),\n",
       " ('TSQL', 3114),\n",
       " ('HCL', 3068),\n",
       " ('Verilog', 2987),\n",
       " ('DOT', 2950),\n",
       " ('Less', 2935),\n",
       " ('ANTLR', 2881),\n",
       " ('Elm', 2865),\n",
       " ('MATLAB', 2856),\n",
       " ('Fortran', 2841),\n",
       " ('Nix', 2761),\n",
       " ('XML', 2697),\n",
       " ('Mathematica', 2671),\n",
       " ('GDB', 2630),\n",
       " ('OpenEdge ABL', 2568),\n",
       " ('Standard ML', 2391),\n",
       " ('LiveScript', 2270),\n",
       " ('Ada', 2176),\n",
       " ('VHDL', 2100),\n",
       " ('DTrace', 2080),\n",
       " ('Eagle', 2068),\n",
       " ('ColdFusion', 2064),\n",
       " ('Vala', 2048),\n",
       " ('Perl 6', 1965),\n",
       " ('XS', 1950),\n",
       " ('Forth', 1918),\n",
       " ('OpenSCAD', 1782),\n",
       " ('Vim Script', 1754),\n",
       " ('SaltStack', 1677),\n",
       " ('HLSL', 1657),\n",
       " ('Rebol', 1648),\n",
       " ('AutoHotkey', 1476),\n",
       " ('SAS', 1352),\n",
       " ('LLVM', 1345),\n",
       " ('Module Management System', 1324),\n",
       " ('Procfile', 1317),\n",
       " ('Starlark', 1250),\n",
       " ('ShaderLab', 1214),\n",
       " ('Crystal', 1198),\n",
       " ('Meson', 1184),\n",
       " ('XQuery', 1178),\n",
       " ('Jinja', 1101),\n",
       " ('KiCad', 1098),\n",
       " ('sed', 1093),\n",
       " ('SystemVerilog', 1060),\n",
       " ('BitBake', 1043),\n",
       " ('Stata', 1030),\n",
       " ('Max', 1029),\n",
       " ('Liquid', 1028),\n",
       " ('Coq', 1006),\n",
       " ('Rich Text Format', 1001),\n",
       " ('CLIPS', 993),\n",
       " ('eC', 920),\n",
       " ('Twig', 918),\n",
       " ('Pure Data', 915),\n",
       " ('Ragel in Ruby Host', 908),\n",
       " ('GCC Machine Description', 875),\n",
       " ('AMPL', 853),\n",
       " ('FLUX', 852),\n",
       " ('Xtend', 836),\n",
       " ('Brainfuck', 831),\n",
       " ('PureScript', 827),\n",
       " ('NewLisp', 814),\n",
       " ('API Blueprint', 810),\n",
       " ('AspectJ', 792),\n",
       " ('Apex', 777),\n",
       " ('EJS', 760),\n",
       " ('Eiffel', 723),\n",
       " (\"Cap'n Proto\", 694),\n",
       " ('GDScript', 694),\n",
       " ('Mustache', 692),\n",
       " ('AGS Script', 675),\n",
       " ('COBOL', 666),\n",
       " ('Cython', 661),\n",
       " ('Raku', 651),\n",
       " ('AutoIt', 650),\n",
       " ('PureBasic', 649),\n",
       " ('Gettext Catalog', 649),\n",
       " ('Mercury', 644),\n",
       " ('SQL', 641),\n",
       " ('Web Ontology Language', 641),\n",
       " ('Pug', 637),\n",
       " ('Io', 622),\n",
       " ('SQF', 609),\n",
       " ('PigLatin', 607),\n",
       " ('Nimrod', 601),\n",
       " ('Mask', 595),\n",
       " ('ASP.NET', 585),\n",
       " ('Diff', 560),\n",
       " ('SWIG', 549),\n",
       " ('Modelica', 544),\n",
       " ('Gosu', 543),\n",
       " ('Sass', 518),\n",
       " ('RobotFramework', 517),\n",
       " ('Vim Snippet', 516),\n",
       " ('POV-Ray SDL', 505),\n",
       " ('Haml', 501),\n",
       " ('PAWN', 500)]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import operator\n",
    "sorted_Languages_counts = sorted(Languages_count.items(), key=operator.itemgetter(1),reverse=True)\n",
    "sorted_Languages_counts[:200]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d65abe6-8f38-4e62-a3bb-ce6ef43653c3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a5421f1e-f62d-4288-aefa-c8f8db0f7ebb",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Language Popularity Score')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "language = list(zip(*sorted_Languages_counts[:10]))[0]\n",
    "count = list(zip(*sorted_Languages_counts[:10]))[1]\n",
    "x_pos = np.arange(len(language))\n",
    "\n",
    "\n",
    "# calculate slope and intercept for the linear trend line\n",
    "slope, intercept = np.polyfit(x_pos, count, 1)\n",
    "trendline = intercept + (slope * x_pos)\n",
    "plt.figure(figsize=(10,30))\n",
    "# plt.plot(x_pos, trendline, color='black', linestyle='--')    \n",
    "plt.barh(x_pos, count,align='center',color=sns.color_palette(\"gist_rainbow\",len(x_pos)))\n",
    "plt.xticks(x_pos, language,rotation=45) \n",
    "plt.title('Language Popularity Score')\n",
    "# plt.savefig('github-language-popularity.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "29ef1537-8c73-4581-8029-d7feddcbc0ee",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('JavaScript', 1099966), ('CSS', 807826), ('HTML', 777433), ('Shell', 640886), ('Python', 550905), ('Ruby', 374276), ('Java', 369673), ('PHP', 339426), ('C', 293231), ('C++', 277871), ('Makefile', 251366), ('Objective-C', 166961), ('C#', 133110), ('Perl', 101533), ('Batchfile', 97868), ('Go', 91867), ('CoffeeScript', 68589), ('ApacheConf', 68500), ('CMake', 56754), ('TypeScript', 48027), ('Assembly', 47681), ('Swift', 42605), ('Scala', 34562), ('Lua', 34431), ('PowerShell', 33176), ('ASP', 32781), ('XSLT', 32226), ('TeX', 31554), ('Haskell', 30061), ('R', 29356), ('Groovy', 27229), ('Dockerfile', 27176), ('Clojure', 25896), ('Groff', 25635), ('Awk', 20625), ('Arduino', 20424), ('VimL', 18977), ('Objective-C++', 17946), ('Matlab', 17524), ('QMake', 17506), ('Smarty', 17346), ('Jupyter Notebook', 17332), ('Emacs Lisp', 16755), ('Rust', 15907), ('M4', 15776), ('Puppet', 14936), ('Erlang', 14909), ('GLSL', 13904), ('Yacc', 13695), ('Scilab', 13050), ('Lex', 12506), ('Roff', 12132), ('Protocol Buffer', 11668), ('Prolog', 11119), ('Visual Basic', 10464), ('Pascal', 10137), ('SCSS', 9538), ('UnrealScript', 9503), ('PLpgSQL', 9235), ('Vim script', 9233), ('SourcePawn', 9036), ('ActionScript', 8755), ('Vue', 8671), ('Nginx', 8516), ('Tcl', 8131), ('NSIS', 8081), ('Kotlin', 7977), ('Handlebars', 7670), ('Cucumber', 7402), ('Scheme', 7241), ('D', 7196), ('Elixir', 6819), ('Processing', 6774), ('PLSQL', 6752), ('Julia', 5897), ('F#', 5888), ('Dart', 5791), ('Common Lisp', 5682), ('OCaml', 5645), ('Smalltalk', 5589), ('IDL', 5299), ('Perl6', 5279), ('QML', 5251), ('SQLPL', 5121), ('M', 4903), ('Gherkin', 4862), ('Logos', 4502), ('Cuda', 4402), ('Mako', 4336), ('PostScript', 4144), ('GAP', 4091), ('AppleScript', 4086), ('DIGITAL Command Language', 3839), ('Racket', 3766), ('Inno Setup', 3731), ('SuperCollider', 3718), ('FORTRAN', 3716), ('Bison', 3639), ('FreeMarker', 3567), ('Thrift', 3525), ('Hack', 3310), ('Haxe', 3309), ('Gnuplot', 3222), ('TSQL', 3114), ('HCL', 3068), ('Verilog', 2987), ('DOT', 2950), ('Less', 2935), ('ANTLR', 2881), ('Elm', 2865), ('MATLAB', 2856), ('Fortran', 2841), ('Nix', 2761), ('XML', 2697), ('Mathematica', 2671), ('GDB', 2630), ('OpenEdge ABL', 2568), ('Standard ML', 2391), ('LiveScript', 2270), ('Ada', 2176), ('VHDL', 2100), ('DTrace', 2080), ('Eagle', 2068), ('ColdFusion', 2064), ('Vala', 2048), ('Perl 6', 1965), ('XS', 1950), ('Forth', 1918), ('OpenSCAD', 1782), ('Vim Script', 1754), ('SaltStack', 1677), ('HLSL', 1657), ('Rebol', 1648), ('AutoHotkey', 1476), ('SAS', 1352), ('LLVM', 1345), ('Module Management System', 1324), ('Procfile', 1317), ('Starlark', 1250), ('ShaderLab', 1214), ('Crystal', 1198), ('Meson', 1184), ('XQuery', 1178), ('Jinja', 1101), ('KiCad', 1098), ('sed', 1093), ('SystemVerilog', 1060), ('BitBake', 1043), ('Stata', 1030), ('Max', 1029), ('Liquid', 1028), ('Coq', 1006), ('Rich Text Format', 1001), ('CLIPS', 993), ('eC', 920), ('Twig', 918), ('Pure Data', 915), ('Ragel in Ruby Host', 908), ('GCC Machine Description', 875), ('AMPL', 853), ('FLUX', 852), ('Xtend', 836), ('Brainfuck', 831), ('PureScript', 827), ('NewLisp', 814), ('API Blueprint', 810), ('AspectJ', 792), ('Apex', 777), ('EJS', 760), ('Eiffel', 723), (\"Cap'n Proto\", 694), ('GDScript', 694), ('Mustache', 692), ('AGS Script', 675), ('COBOL', 666), ('Cython', 661), ('Raku', 651), ('AutoIt', 650), ('PureBasic', 649), ('Gettext Catalog', 649), ('Mercury', 644), ('SQL', 641), ('Web Ontology Language', 641), ('Pug', 637), ('Io', 622), ('SQF', 609), ('PigLatin', 607), ('Nimrod', 601), ('Mask', 595), ('ASP.NET', 585), ('Diff', 560), ('SWIG', 549), ('Modelica', 544), ('Gosu', 543), ('Sass', 518), ('RobotFramework', 517), ('Vim Snippet', 516), ('POV-Ray SDL', 505), ('Haml', 501), ('PAWN', 500), ('BlitzBasic', 487), ('Nim', 476), ('RAML', 473), ('nesC', 470), ('Arc', 467), ('EmberScript', 460), ('ABAP', 450), ('XC', 444), ('Lasso', 434), ('Squirrel', 433), ('Game Maker Language', 431), ('Slash', 430), ('VCL', 429), ('JSONiq', 422), ('Blade', 411), ('RenderScript', 405), ('LSL', 396), ('DM', 394), ('Nu', 378), ('Stylus', 374), ('Limbo', 369), ('MoonScript', 359), ('LabVIEW', 357), ('VBScript', 356), ('xBase', 351), ('NASL', 349), ('Volt', 349), ('Pawn', 347), ('CartoCSS', 341), ('Objective-J', 341), ('Visual Basic .NET', 339), ('MAXScript', 335), ('Ragel', 321), ('E', 305), ('Idris', 304), ('LilyPond', 299), ('Augeas', 293), ('Nemerle', 288), ('Cirru', 288), ('AngelScript', 287), ('Clarion', 279), ('1C Enterprise', 276), ('YASnippet', 267), ('Lean', 267), ('Clean', 264), ('Metal', 260), ('Boo', 241), ('Delphi', 240), ('Slim', 234), ('XProc', 223), ('Smali', 213), ('LookML', 210), ('Terra', 208), ('Agda', 208), ('VBA', 206), ('Jasmin', 204), ('Jsonnet', 201), ('Hy', 181), ('RPC', 172), ('q', 171), ('WebAssembly', 169), ('Turing', 168), ('Ceylon', 168), ('SRecode Template', 162), ('Frege', 159), ('NetLogo', 154), ('Stan', 154), ('J', 152), ('Pan', 150), ('Bro', 149), ('SMT', 148), ('HiveQL', 146), ('Zephir', 142), ('Isabelle', 140), ('SmPL', 131), ('Nunjucks', 131), ('Component Pascal', 131), ('Propeller Spin', 129), ('Click', 127), ('ooc', 126), ('Parrot', 121), ('WebIDL', 120), ('Monkey', 117), ('Modula-2', 116), ('Fancy', 115), ('Genshi', 115), ('AIDL', 113), ('Dylan', 113), ('G-code', 112), ('Factor', 112), ('LOLCODE', 109), ('Redcode', 109), ('Pike', 106), ('Rascal', 105), ('PicoLisp', 101), ('Red', 100), ('Brightscript', 98), ('APL', 97), ('ChucK', 95), ('Csound Document', 93), ('Alloy', 91), ('Sage', 91), ('TLA', 90), ('Solidity', 88), ('Svelte', 88), ('Harbour', 86), ('Pony', 80), ('IGOR Pro', 80), ('Papyrus', 80), ('REXX', 78), ('Common Workflow Language', 75), ('HyPhy', 73), ('Oz', 72), ('mupad', 72), ('BASIC', 72), ('Fluent', 71), ('Xojo', 68), ('Graphviz (DOT)', 68), ('Cycript', 67), ('PEG.js', 67), ('Kit', 67), ('Csound', 66), ('KiCad Layout', 66), ('NCL', 65), ('Csound Score', 64), ('UrWeb', 62), ('Nextflow', 62), ('Inform 7', 61), ('Classic ASP', 61), ('Dhall', 60), ('Myghty', 60), ('Opa', 59), ('StringTemplate', 59), ('ReScript', 57), ('Chapel', 56), ('Cool', 56), ('CWeb', 55), ('Logtalk', 53), ('BlitzMax', 53), ('mIRC Script', 53), ('Euphoria', 52), ('Bluespec', 51), ('GAMS', 49), (\"Ren'Py\", 49), ('YARA', 48), ('jq', 47), ('ATS', 46), ('V', 45), ('Mirah', 43), ('FreeBasic', 43), ('ASL', 42), ('Ioke', 42), ('MQL5', 40), ('MQL4', 40), ('P4', 39), ('Fantom', 39), ('JFlex', 39), ('Zimpl', 37), ('Grammatical Framework', 37), ('Uno', 37), ('Oxygene', 35), ('MLIR', 34), ('Pep8', 33), ('XPages', 33), ('Nearley', 33), ('F*', 31), ('wdl', 31), ('Latte', 30), ('KRL', 30), ('Golo', 30), ('Qt Script', 29), ('Open Policy Agent', 29), ('kvlang', 29), ('DCPU-16 ASM', 28), ('Asymptote', 27), ('Dogescript', 27), ('Nit', 27), ('Closure Templates', 27), ('Self', 26), ('ImageJ Macro', 26), ('ECL', 25), ('Visual Basic 6.0', 25), ('NetLinx', 25), ('Reason', 25), ('Zig', 24), ('Ecl', 24), ('Moocode', 24), ('Promela', 24), ('wisp', 23), ('Ballerina', 22), ('Nasal', 22), ('Zeek', 22), ('JetBrains MPS', 22), ('TXL', 22), ('CodeQL', 20), ('Slice', 20), ('X10', 20), ('Filebench WML', 20), ('Modula-3', 20), ('Singularity', 20), ('GSC', 19), ('Faust', 19), ('Ox', 19), ('PowerBuilder', 19), ('ShellSession', 18), ('Earthly', 18), ('Monkey C', 17), ('AL', 17), ('OpenQASM', 17), ('Shen', 17), ('Genie', 17), ('Riot', 17), ('REALbasic', 17), ('Bicep', 17), ('Tea', 16), ('Fennel', 16), ('Jolie', 16), ('Grace', 15), ('LFE', 15), ('Genero Forms', 15), ('ObjectScript', 15), ('Genero', 14), ('YAML', 13), ('Astro', 13), ('Xonsh', 13), ('RouterOS Script', 12), ('MTML', 12), ('Motoko', 12), ('EQ', 12), ('Rouge', 12), ('Marko', 12), ('PogoScript', 12), ('CUE', 11), ('CAP CDS', 11), ('Sieve', 11), ('Kaitai Struct', 11), ('Glyph', 11), ('Mermaid', 10), ('Opal', 10), ('Cypher', 10), ('Charity', 10), ('Witcher Script', 9), ('Markdown', 9), ('HolyC', 9), ('DataWeave', 9), ('Scaml', 9), ('ZenScript', 8), ('Elvish', 8), ('Omgrofl', 8), ('Befunge', 8), ('LoomScript', 7), ('RUNOFF', 7), ('TI Program', 7), ('Berry', 6), ('Boogie', 6), ('JSON', 6), ('Velocity Template Language', 6), ('Odin', 6), ('RPGLE', 6), ('Futhark', 5), ('Q#', 5), ('Macaulay2', 5), ('Cadence', 5), ('KakouneScript', 5), ('ZAP', 4), ('Portugol', 4), ('Beef', 4), ('Wren', 4), ('Wollok', 4), ('SugarSS', 4), ('hoon', 3), ('Yul', 3), ('Ring', 3), ('mcfunction', 3), ('GAML', 3), ('NetLinx+ERB', 3), ('Adblock Filter List', 2), ('CSON', 2), ('Smithy', 2), ('Whiley', 2), ('Dafny', 2), ('Gleam', 2), ('Move', 2), ('PDDL', 2), ('Polar', 2), ('Curry', 1), ('INI', 1), ('BrighterScript', 1), ('OpenAPI Specification v2', 1), ('Bikeshed', 1), ('Cairo', 1), ('DenizenScript', 1), ('Ink', 1), ('Imba', 1), ('SVG', 1), ('KiCad Schematic', 1), ('Vyper', 1), ('just', 1), ('NWScript', 1), ('reStructuredText', 1), ('Mint', 1), ('Org', 1)]\n"
     ]
    }
   ],
   "source": [
    "print(sorted_Languages_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "11dbc7a9-59a4-4b9e-b348-c7924b49bdf0",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "  <matplotlib.axis.XTick at 0x33bbba6e0>,\n",
       "  <matplotlib.axis.XTick at 0x33bbcad40>,\n",
       "  <matplotlib.axis.XTick at 0x33bbc9b10>,\n",
       "  <matplotlib.axis.XTick at 0x33bbcb940>,\n",
       "  <matplotlib.axis.XTick at 0x33bc900d0>,\n",
       "  <matplotlib.axis.XTick at 0x33bc90820>,\n",
       "  <matplotlib.axis.XTick at 0x33bc90f70>,\n",
       "  <matplotlib.axis.XTick at 0x33bbcb8b0>,\n",
       "  <matplotlib.axis.XTick at 0x33bbcae60>,\n",
       "  <matplotlib.axis.XTick at 0x33bc90370>,\n",
       "  <matplotlib.axis.XTick at 0x33bc91bd0>,\n",
       "  <matplotlib.axis.XTick at 0x33bc92320>],\n",
       " [Text(0, 0, 'JavaScript'),\n",
       "  Text(1, 0, 'CSS'),\n",
       "  Text(2, 0, 'HTML'),\n",
       "  Text(3, 0, 'Shell'),\n",
       "  Text(4, 0, 'Python'),\n",
       "  Text(5, 0, 'Ruby'),\n",
       "  Text(6, 0, 'Java'),\n",
       "  Text(7, 0, 'PHP'),\n",
       "  Text(8, 0, 'C'),\n",
       "  Text(9, 0, 'C++'),\n",
       "  Text(10, 0, 'Makefile'),\n",
       "  Text(11, 0, 'Objective-C'),\n",
       "  Text(12, 0, 'C#'),\n",
       "  Text(13, 0, 'Perl'),\n",
       "  Text(14, 0, 'Batchfile'),\n",
       "  Text(15, 0, 'Go'),\n",
       "  Text(16, 0, 'CoffeeScript'),\n",
       "  Text(17, 0, 'ApacheConf'),\n",
       "  Text(18, 0, 'CMake'),\n",
       "  Text(19, 0, 'TypeScript'),\n",
       "  Text(20, 0, 'Assembly'),\n",
       "  Text(21, 0, 'Swift'),\n",
       "  Text(22, 0, 'Scala'),\n",
       "  Text(23, 0, 'Lua'),\n",
       "  Text(24, 0, 'PowerShell'),\n",
       "  Text(25, 0, 'ASP'),\n",
       "  Text(26, 0, 'XSLT'),\n",
       "  Text(27, 0, 'TeX'),\n",
       "  Text(28, 0, 'Haskell'),\n",
       "  Text(29, 0, 'R'),\n",
       "  Text(30, 0, 'Groovy'),\n",
       "  Text(31, 0, 'Dockerfile'),\n",
       "  Text(32, 0, 'Clojure'),\n",
       "  Text(33, 0, 'Groff'),\n",
       "  Text(34, 0, 'Awk'),\n",
       "  Text(35, 0, 'Arduino'),\n",
       "  Text(36, 0, 'VimL'),\n",
       "  Text(37, 0, 'Objective-C++'),\n",
       "  Text(38, 0, 'Matlab'),\n",
       "  Text(39, 0, 'QMake'),\n",
       "  Text(40, 0, 'Smarty'),\n",
       "  Text(41, 0, 'Jupyter Notebook'),\n",
       "  Text(42, 0, 'Emacs Lisp'),\n",
       "  Text(43, 0, 'Rust'),\n",
       "  Text(44, 0, 'M4'),\n",
       "  Text(45, 0, 'Puppet'),\n",
       "  Text(46, 0, 'Erlang'),\n",
       "  Text(47, 0, 'GLSL'),\n",
       "  Text(48, 0, 'Yacc'),\n",
       "  Text(49, 0, 'Scilab'),\n",
       "  Text(50, 0, 'Lex'),\n",
       "  Text(51, 0, 'Roff'),\n",
       "  Text(52, 0, 'Protocol Buffer'),\n",
       "  Text(53, 0, 'Prolog'),\n",
       "  Text(54, 0, 'Visual Basic'),\n",
       "  Text(55, 0, 'Pascal'),\n",
       "  Text(56, 0, 'SCSS'),\n",
       "  Text(57, 0, 'UnrealScript'),\n",
       "  Text(58, 0, 'PLpgSQL'),\n",
       "  Text(59, 0, 'Vim script'),\n",
       "  Text(60, 0, 'SourcePawn'),\n",
       "  Text(61, 0, 'ActionScript'),\n",
       "  Text(62, 0, 'Vue'),\n",
       "  Text(63, 0, 'Nginx'),\n",
       "  Text(64, 0, 'Tcl'),\n",
       "  Text(65, 0, 'NSIS'),\n",
       "  Text(66, 0, 'Kotlin'),\n",
       "  Text(67, 0, 'Handlebars'),\n",
       "  Text(68, 0, 'Cucumber'),\n",
       "  Text(69, 0, 'Scheme'),\n",
       "  Text(70, 0, 'D'),\n",
       "  Text(71, 0, 'Elixir'),\n",
       "  Text(72, 0, 'Processing'),\n",
       "  Text(73, 0, 'PLSQL'),\n",
       "  Text(74, 0, 'Julia'),\n",
       "  Text(75, 0, 'F#'),\n",
       "  Text(76, 0, 'Dart'),\n",
       "  Text(77, 0, 'Common Lisp'),\n",
       "  Text(78, 0, 'OCaml'),\n",
       "  Text(79, 0, 'Smalltalk'),\n",
       "  Text(80, 0, 'IDL'),\n",
       "  Text(81, 0, 'Perl6'),\n",
       "  Text(82, 0, 'QML'),\n",
       "  Text(83, 0, 'SQLPL'),\n",
       "  Text(84, 0, 'M'),\n",
       "  Text(85, 0, 'Gherkin'),\n",
       "  Text(86, 0, 'Logos'),\n",
       "  Text(87, 0, 'Cuda'),\n",
       "  Text(88, 0, 'Mako'),\n",
       "  Text(89, 0, 'PostScript'),\n",
       "  Text(90, 0, 'GAP'),\n",
       "  Text(91, 0, 'AppleScript'),\n",
       "  Text(92, 0, 'DIGITAL Command Language'),\n",
       "  Text(93, 0, 'Racket'),\n",
       "  Text(94, 0, 'Inno Setup'),\n",
       "  Text(95, 0, 'SuperCollider'),\n",
       "  Text(96, 0, 'FORTRAN'),\n",
       "  Text(97, 0, 'Bison'),\n",
       "  Text(98, 0, 'FreeMarker'),\n",
       "  Text(99, 0, 'Thrift'),\n",
       "  Text(100, 0, 'Hack'),\n",
       "  Text(101, 0, 'Haxe'),\n",
       "  Text(102, 0, 'Gnuplot'),\n",
       "  Text(103, 0, 'TSQL'),\n",
       "  Text(104, 0, 'HCL'),\n",
       "  Text(105, 0, 'Verilog'),\n",
       "  Text(106, 0, 'DOT'),\n",
       "  Text(107, 0, 'Less'),\n",
       "  Text(108, 0, 'ANTLR'),\n",
       "  Text(109, 0, 'Elm'),\n",
       "  Text(110, 0, 'MATLAB'),\n",
       "  Text(111, 0, 'Fortran'),\n",
       "  Text(112, 0, 'Nix'),\n",
       "  Text(113, 0, 'XML'),\n",
       "  Text(114, 0, 'Mathematica'),\n",
       "  Text(115, 0, 'GDB'),\n",
       "  Text(116, 0, 'OpenEdge ABL'),\n",
       "  Text(117, 0, 'Standard ML'),\n",
       "  Text(118, 0, 'LiveScript'),\n",
       "  Text(119, 0, 'Ada'),\n",
       "  Text(120, 0, 'VHDL'),\n",
       "  Text(121, 0, 'DTrace'),\n",
       "  Text(122, 0, 'Eagle'),\n",
       "  Text(123, 0, 'ColdFusion'),\n",
       "  Text(124, 0, 'Vala'),\n",
       "  Text(125, 0, 'Perl 6'),\n",
       "  Text(126, 0, 'XS'),\n",
       "  Text(127, 0, 'Forth'),\n",
       "  Text(128, 0, 'OpenSCAD'),\n",
       "  Text(129, 0, 'Vim Script'),\n",
       "  Text(130, 0, 'SaltStack'),\n",
       "  Text(131, 0, 'HLSL'),\n",
       "  Text(132, 0, 'Rebol'),\n",
       "  Text(133, 0, 'AutoHotkey'),\n",
       "  Text(134, 0, 'SAS'),\n",
       "  Text(135, 0, 'LLVM'),\n",
       "  Text(136, 0, 'Module Management System'),\n",
       "  Text(137, 0, 'Procfile'),\n",
       "  Text(138, 0, 'Starlark'),\n",
       "  Text(139, 0, 'ShaderLab'),\n",
       "  Text(140, 0, 'Crystal'),\n",
       "  Text(141, 0, 'Meson'),\n",
       "  Text(142, 0, 'XQuery'),\n",
       "  Text(143, 0, 'Jinja'),\n",
       "  Text(144, 0, 'KiCad'),\n",
       "  Text(145, 0, 'sed'),\n",
       "  Text(146, 0, 'SystemVerilog'),\n",
       "  Text(147, 0, 'BitBake'),\n",
       "  Text(148, 0, 'Stata'),\n",
       "  Text(149, 0, 'Max'),\n",
       "  Text(150, 0, 'Liquid'),\n",
       "  Text(151, 0, 'Coq'),\n",
       "  Text(152, 0, 'Rich Text Format'),\n",
       "  Text(153, 0, 'CLIPS'),\n",
       "  Text(154, 0, 'eC')])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "language = list(zip(*sorted_Languages_counts[:155]))[0]\n",
    "count = list(zip(*sorted_Languages_counts[:155]))[1]\n",
    "x_pos = np.arange(len(language))\n",
    "\n",
    "plt.figure(figsize=(12,8))\n",
    "# plt.plot(x_pos, trendline, color='black', linestyle='--')    \n",
    "plt.bar(x_pos, count,align='center',color=sns.color_palette(\"gist_rainbow\",len(x_pos)))\n",
    "plt.xticks(x_pos, language,rotation=30, fontsize=25) \n",
    "# plt.xlabel(fontsize=40)\n",
    "# plt.title('Language Popularity Score')\n",
    "# plt.savefig('github-language-popularity.svg',transparent=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "03b321a5-e78a-4453-8757-48274a6e9684",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the total count for all languages\n",
    "total_count = sum(count for _, count in sorted_Languages_counts)\n",
    "\n",
    "# Find the index of Verilog\n",
    "verilog_index = next(i for i, v in enumerate(sorted_Languages_counts) if v[0] == 'Verilog')\n",
    "\n",
    "# Number of initial languages to display\n",
    "initial_display_count = 5\n",
    "\n",
    "# Create a new list with the first few languages, placeholder, and Verilog\n",
    "selected_languages_counts = sorted_Languages_counts[:initial_display_count] + [('...', 0), sorted_Languages_counts[verilog_index]]\n",
    "\n",
    "# Unpack languages and counts\n",
    "language, count = zip(*selected_languages_counts)\n",
    "x_pos = np.arange(len(language))\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(7,5))\n",
    "bars = plt.bar(x_pos, count, align='center', color=sns.color_palette(\"gist_rainbow\", len(x_pos)))\n",
    "plt.xticks(x_pos, language, rotation=15, fontsize=25)\n",
    "\n",
    "# Annotate bars with percentage\n",
    "for idx, bar in enumerate(bars):\n",
    "    height = bar.get_height()\n",
    "    percentage = (height / total_count) * 100\n",
    "    if language[idx] == 'Verilog':  # Highlight Verilog\n",
    "        plt.text(bar.get_x() + bar.get_width() / 2, height, f'{percentage:.2f}%', ha='center', va='bottom', fontsize=20, fontweight='bold', color='red')\n",
    "    elif language[idx] != '...':  # Avoid annotating '...'\n",
    "        plt.text(bar.get_x() + bar.get_width() / 2, height, f'{percentage:.2f}%', ha='center', va='bottom', fontsize=15)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "9efed6f4-535a-4e65-8afe-8712abcf6152",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Updating the data to reflect the change for JavaScript to JS\n",
    "updated_sorted_Languages_counts = [(('JS' if lang == 'JavaScript' else lang), count) for lang, count in sorted_Languages_counts]\n",
    "\n",
    "# Find the index of Verilog in the updated list\n",
    "verilog_index = next(i for i, v in enumerate(updated_sorted_Languages_counts) if v[0] == 'Verilog')\n",
    "\n",
    "# Number of initial languages to display\n",
    "initial_display_count = 5\n",
    "\n",
    "# Create a new list with the first few languages, placeholder, and Verilog\n",
    "selected_languages_counts = updated_sorted_Languages_counts[:initial_display_count] + [('...', 0), updated_sorted_Languages_counts[verilog_index]]\n",
    "\n",
    "# Unpack languages and counts\n",
    "language, count = zip(*selected_languages_counts)\n",
    "x_pos = np.arange(len(language))\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(6,3))\n",
    "bars = plt.bar(x_pos, count, align='center', color=sns.color_palette(\"gist_rainbow\", len(x_pos)))\n",
    "\n",
    "# Annotate bars with percentage\n",
    "for idx, bar in enumerate(bars):\n",
    "    height = bar.get_height()\n",
    "    percentage = (height / total_count) * 100\n",
    "    if language[idx] == 'Verilog':  # Highlight Verilog\n",
    "        plt.text(bar.get_x() + bar.get_width() / 2, height, f'{percentage:.2f}%', ha='center', va='bottom', fontsize=20, fontweight='bold', color='red')\n",
    "    elif language[idx] != '...':  # Avoid annotating '...'\n",
    "        plt.text(bar.get_x() + bar.get_width() / 2, height, f'{percentage:.2f}%', ha='center', va='bottom', fontsize=13)\n",
    "\n",
    "plt.yticks( fontsize=15)\n",
    "\n",
    "plt.xticks(x_pos, language, rotation=30, fontsize=15)\n",
    "plt.savefig('github-language-popularity.svg', bbox_inches='tight');\n",
    "plt.savefig('github-language-popularity.pdf');\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "6ca4e607-e14f-4573-8d69-ceae41414a2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/shailjathakur'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "2d4f4dff-9146-42ac-8e36-14f532070be4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# verilog from stack overflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "29e76e66-6be3-4f5f-aac8-eafdfd80bf33",
   "metadata": {},
   "outputs": [],
   "source": [
    "query_string = \"\"\"\n",
    "SELECT\n",
    "CONCAT(\n",
    "    'https://stackoverflow.com/questions/',\n",
    "    CAST(id as STRING)) as url,\n",
    "view_count\n",
    "FROM `bigquery-public-data.stackoverflow.posts_questions`\n",
    "WHERE ((tags like '%verilog%')\n",
    "or (tags like '%beginmodule%' and tags like '%endmodule%' and tags like '%always%')\n",
    ")\n",
    "ORDER BY view_count DESC\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "69966ed6-3d84-4d5d-9e49-f4846b416fac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 3600x3600 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "explode = (0, 0.1)  # only \"explode\" the 2nd slice (i.e. 'Hogs')\n",
    "labels = 'Unique', 'Plagiarised'\n",
    "sizes = [15, 30]\n",
    "fig = plt.gcf()\n",
    "fig, ax = plt.subplots()\n",
    "plt.figure(figsize=(50,50))\n",
    "\n",
    "ax.pie(sizes, explode=explode, labels=labels,colors=['green', 'red'], autopct='%1.1f%%',\n",
    "        shadow=True, startangle=90,wedgeprops={'alpha':0.6})\n",
    "# plt.savefig('pie_plagiarism.svg',transparent=True,bbox_inches='tight', format=\"svg\")\n",
    "plt.savefig('pie_plagiarism.png',transparent=True,bbox_inches='tight')\n",
    "\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "516209f7-d79c-41ee-ac3b-f8d45a6b9f1f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:verilog_gpt]",
   "language": "python",
   "name": "conda-env-verilog_gpt-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}