Alucce.VD.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "729e11e0-40c5-471b-b6b3-2df38c5be1ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "#import the libraries we want to use\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "#this will display graths in line \n",
    "%matplotlib inline\n",
    "#specifiying how large to show the figure\n",
    "plt.rcParams[\"figure.figsize\"] =(8,6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "45c6faf6-3873-4861-b31e-a3e1289705d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "superheros = pd.read_csv(\"superhero_vz_data.csv\" , parse_dates = [\"FIRST_YEAR\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e6877bec-75c3-4b6c-8e06-bc9f235bff75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UNIVERSE</th>\n",
       "      <th>page_id</th>\n",
       "      <th>name</th>\n",
       "      <th>urlslug</th>\n",
       "      <th>ID</th>\n",
       "      <th>ALIGN</th>\n",
       "      <th>IS_AVENGER</th>\n",
       "      <th>AVENGER_STATUS</th>\n",
       "      <th>AVENGER_YEAR</th>\n",
       "      <th>EYES</th>\n",
       "      <th>...</th>\n",
       "      <th>SEX</th>\n",
       "      <th>SEXUALITY</th>\n",
       "      <th>ALIVE</th>\n",
       "      <th>APPEARANCES</th>\n",
       "      <th>FIRST_MONTH</th>\n",
       "      <th>FIRST_YEAR</th>\n",
       "      <th>DECEASED</th>\n",
       "      <th>RESURRECTED</th>\n",
       "      <th>Unnamed: 19</th>\n",
       "      <th>Unnamed: 20</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DC</td>\n",
       "      <td>1702</td>\n",
       "      <td>Richard Occult (New Earth)</td>\n",
       "      <td>Richard_Occult_(New_Earth)</td>\n",
       "      <td>Secret Identity</td>\n",
       "      <td>ND</td>\n",
       "      <td>NO</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>Grey Eyes</td>\n",
       "      <td>...</td>\n",
       "      <td>Male Characters</td>\n",
       "      <td>Heterosexual Characters</td>\n",
       "      <td>Living Characters</td>\n",
       "      <td>125</td>\n",
       "      <td>October</td>\n",
       "      <td>1935</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DC</td>\n",
       "      <td>158200</td>\n",
       "      <td>Arthur Pendragon (New Earth)</td>\n",
       "      <td>Arthur_Pendragon_(New_Earth)</td>\n",
       "      <td>Public Identity</td>\n",
       "      <td>Good Characters</td>\n",
       "      <td>NO</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>Brown Eyes</td>\n",
       "      <td>...</td>\n",
       "      <td>Male Characters</td>\n",
       "      <td>Heterosexual Characters</td>\n",
       "      <td>Living Characters</td>\n",
       "      <td>41</td>\n",
       "      <td>February</td>\n",
       "      <td>1936</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DC</td>\n",
       "      <td>289378</td>\n",
       "      <td>Bedivere (New Earth)</td>\n",
       "      <td>Bedivere_(New_Earth)</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>NO</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>...</td>\n",
       "      <td>Male Characters</td>\n",
       "      <td>Heterosexual Characters</td>\n",
       "      <td>Living Characters</td>\n",
       "      <td>ND</td>\n",
       "      <td>February</td>\n",
       "      <td>1936</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DC</td>\n",
       "      <td>11333</td>\n",
       "      <td>Franklin Delano Roosevelt (New Earth)</td>\n",
       "      <td>Franklin_Delano_Roosevelt_(New_Earth)</td>\n",
       "      <td>Public Identity</td>\n",
       "      <td>Good Characters</td>\n",
       "      <td>NO</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>...</td>\n",
       "      <td>Male Characters</td>\n",
       "      <td>Heterosexual Characters</td>\n",
       "      <td>Living Characters</td>\n",
       "      <td>52</td>\n",
       "      <td>March</td>\n",
       "      <td>1936</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DC</td>\n",
       "      <td>342641</td>\n",
       "      <td>Gareth (New Earth)</td>\n",
       "      <td>Gareth_(New_Earth)</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>NO</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>...</td>\n",
       "      <td>Male Characters</td>\n",
       "      <td>Heterosexual Characters</td>\n",
       "      <td>Living Characters</td>\n",
       "      <td>1</td>\n",
       "      <td>February</td>\n",
       "      <td>1936</td>\n",
       "      <td>ND</td>\n",
       "      <td>ND</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  UNIVERSE page_id                                   name  \\\n",
       "0       DC    1702             Richard Occult (New Earth)   \n",
       "1       DC  158200           Arthur Pendragon (New Earth)   \n",
       "2       DC  289378                   Bedivere (New Earth)   \n",
       "3       DC   11333  Franklin Delano Roosevelt (New Earth)   \n",
       "4       DC  342641                     Gareth (New Earth)   \n",
       "\n",
       "                                 urlslug               ID            ALIGN  \\\n",
       "0             Richard_Occult_(New_Earth)  Secret Identity               ND   \n",
       "1           Arthur_Pendragon_(New_Earth)  Public Identity  Good Characters   \n",
       "2                   Bedivere_(New_Earth)               ND               ND   \n",
       "3  Franklin_Delano_Roosevelt_(New_Earth)  Public Identity  Good Characters   \n",
       "4                     Gareth_(New_Earth)               ND               ND   \n",
       "\n",
       "  IS_AVENGER AVENGER_STATUS AVENGER_YEAR        EYES  ...              SEX  \\\n",
       "0         NO             ND           ND   Grey Eyes  ...  Male Characters   \n",
       "1         NO             ND           ND  Brown Eyes  ...  Male Characters   \n",
       "2         NO             ND           ND          ND  ...  Male Characters   \n",
       "3         NO             ND           ND          ND  ...  Male Characters   \n",
       "4         NO             ND           ND          ND  ...  Male Characters   \n",
       "\n",
       "                 SEXUALITY              ALIVE APPEARANCES FIRST_MONTH  \\\n",
       "0  Heterosexual Characters  Living Characters         125    October    \n",
       "1  Heterosexual Characters  Living Characters          41   February    \n",
       "2  Heterosexual Characters  Living Characters          ND   February    \n",
       "3  Heterosexual Characters  Living Characters          52      March    \n",
       "4  Heterosexual Characters  Living Characters           1   February    \n",
       "\n",
       "  FIRST_YEAR DECEASED RESURRECTED Unnamed: 19  Unnamed: 20  \n",
       "0       1935       ND          ND         NaN          NaN  \n",
       "1       1936       ND          ND         NaN          NaN  \n",
       "2       1936       ND          ND         NaN          NaN  \n",
       "3       1936       ND          ND         NaN          NaN  \n",
       "4       1936       ND          ND         NaN          NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "superheros.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "08e65380-6fbb-428b-ac58-bfbc65e6ca05",
   "metadata": {},
   "outputs": [],
   "source": [
    "## plot #1: When was most Superheros introduced?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c4a74547-6aaa-4e50-961e-25286b9b3f50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UNIVERSE              0\n",
       "page_id               0\n",
       "name                  0\n",
       "urlslug               0\n",
       "ID                    0\n",
       "ALIGN                 1\n",
       "IS_AVENGER            0\n",
       "AVENGER_STATUS        0\n",
       "AVENGER_YEAR          0\n",
       "EYES                  3\n",
       "HAIR                  3\n",
       "SEX                   0\n",
       "SEXUALITY             0\n",
       "ALIVE                 0\n",
       "APPEARANCES           0\n",
       "FIRST_MONTH           0\n",
       "FIRST_YEAR            0\n",
       "DECEASED              0\n",
       "RESURRECTED           0\n",
       "Unnamed: 19       23420\n",
       "Unnamed: 20       23420\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "superheros.isnull().sum()# want to see what the values we have "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "26e526a0-934a-44f3-a1e0-b68046c5ce09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1935'"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# When did the first Superhero get introduced ?\n",
    "superheros[\"FIRST_YEAR\"].min()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "4e76480f-c795-4827-815b-49cec2c1a344",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ND      881\n",
       "1993    764\n",
       "1994    716\n",
       "2006    687\n",
       "1992    636\n",
       "Name: FIRST_YEAR, dtype: int64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What year was most Superheros introduced?\n",
    "introduction1 = superheros[\"FIRST_YEAR\"].value_counts()\n",
    "introduction1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "ce3d1b6a-bde1-420f-9f99-597dab2dcb77",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sort by actuall year (not the column)\n",
    "introduction1 = introduction1.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "ef03be21-ac9b-4509-832e-2e5978966d94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# make line chart\n",
    "y1 = introduction1\n",
    "x1 = introduction1\n",
    "\n",
    "y2 = introduction1\n",
    "x2 = introduction1\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(10, 8)\n",
    "\n",
    "ax.plot(x1, y1, label=\"DC comics\", color='b')\n",
    "\n",
    "\n",
    "ax.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Number of Superheros introduced')\n",
    "plt.title('When was most Superheros introduced?')\n",
    "\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "0ce96b1e-d12c-47db-9110-2ff64db07f86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot #2: What universe has the most superheros?\n",
    "# Make a bar chart\n",
    "universe = ('DC comics', 'Marvel')\n",
    "y_pos = np.arange(len(universe))\n",
    "nr_superheros = [6896,18000]\n",
    "    \n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(10, 8)\n",
    "\n",
    "barlist = ax.bar(y_pos, nr_superheros, align='center')\n",
    "barlist[1].set_color('r')\n",
    "\n",
    "plt.xticks(y_pos, universe)\n",
    "plt.xlabel('Universe')\n",
    "plt.ylabel('Number of Superheros')\n",
    "plt.title('What Universe has the most Superheros?')\n",
    "\n",
    "plt.rc('axes', titlesize=16)     \n",
    "plt.rc('axes', labelsize=12)    \n",
    "plt.rc('xtick', labelsize=12)   \n",
    "plt.rc('figure', titlesize=12)  \n",
    " \n",
    "plt.show()\n",
    "#I had to get some help from whatching videos on YouTube to find how to implement a graph-CREDIT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "d4617d3a-a50c-4f67-ad71-b5d5749d3c07",
   "metadata": {},
   "outputs": [],
   "source": [
    "##plot #3:\n",
    "# exclude missing values from total number of superheros\n",
    "a = len(superheros)-superheros['ID'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "c8fe10bb-3a82-4bca-a56b-d4fd0151bd9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-112-082debbe8185>:11: MatplotlibDeprecationWarning: normalize=None does not normalize if the sum is less than 1 but this behavior is deprecated since 3.3 until two minor releases later. After the deprecation period the default value will be normalize=True. To prevent normalization pass normalize=False \n",
      "  ax.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Make a pie chart\n",
    "labels = 'Secret Identity', 'Public Identity', 'Identity Unknown'\n",
    "sizes = [(len(superheros[superheros['ID'] == 'Secret Identity'])/a),\n",
    "         (len(superheros[superheros['ID'] == 'Public Identity'])/a), \n",
    "         (len(superheros[superheros['ID'] == 'Identity Unknown'])/a)]\n",
    "\n",
    "explode = (0.1, 0, 0)  # split the first slice (i.e. 'Secret Identity')\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(10, 8)\n",
    "ax.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n",
    "        shadow=False, startangle=100)\n",
    "ax.axis('equal')\n",
    "\n",
    "plt.title('Info about the DC comics Superheros identity')\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#I had to get some help from whatching videos on YouTube to find how to implement the cart- CREDIT\n",
    "# I don't really know the meaning of this message. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "41b26c6d-c43b-4e02-9b19-3af50be50ab1",
   "metadata": {},
   "outputs": [],
   "source": [
    "#CREDIT to the lecture video I rewaatch and YouTube videos- \n",
    "#In loooked up some online examples to guide me to come up with my own \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "290be647-3229-4741-93de-63f7dc97b360",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "04649a2a-4a0b-40fc-980c-98b4105f08d4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "74f43bd6-4776-491a-a964-922eaa91dbd3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}