{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Custom Plots\n",
    "\n",
    "You may will sometimes find yourself in a scenario where the standard plots are not a good fit for what you're doing.  Fortunately, data visualizations are usually combinations of rectangles, circles, lines, and text; learning how to draw those at specific coordinates is very powerful.  In this reading, we'll just focus on text.  The challenge will be the coordinates, as there are multiple simultaneous systems in any figure.\n",
    "\n",
    "As a concrete example, we'll try to reconstruct a very elegant custom plot posted to the /r/dataisbeautiful subreddit:\n",
    "\n",
    "https://www.reddit.com/r/dataisbeautiful/comments/lot486/frequency_of_letters_in_english_words_and_where/\n",
    "\n",
    "The original plot looks like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import Image\n",
    "Image(\"reddit.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The order of the subplots tells you which letters are most common in English words (\"E\" is most common, representing 10.98% of occurences).  The bars in each subplot tell you where those letters occur within the word.  Y is almost aways at the end of a word; J is almost always at the beginning.\n",
    "\n",
    "The version we'll create by the end of the reading will look like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image(\"reading.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Constructing the Dataset\n",
    "\n",
    "Before we try plotting, we want to build a table where there is one row per letter.  Each of ten colunns will represent a location within a word.  For example, 0.5 of the A row will tell us how many times the letter A appears in the middle of a word.\n",
    "\n",
    "We'll can pull the capital letters from the alphabet using Python's builtin `string` module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from string import ascii_letters\n",
    "print(ascii_letters)\n",
    "caps = list(ascii_letters[26:])\n",
    "caps[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's start with an empty table with the desired rows and columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>0.0</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.2</th>\n",
       "      <th>0.3</th>\n",
       "      <th>0.4</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.6</th>\n",
       "      <th>0.7</th>\n",
       "      <th>0.8</th>\n",
       "      <th>0.9</th>\n",
       "      <th>1.0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   0.0  0.1  0.2  0.3  0.4  0.5  0.6  0.7  0.8  0.9  1.0\n",
       "A    0    0    0    0    0    0    0    0    0    0    0\n",
       "B    0    0    0    0    0    0    0    0    0    0    0\n",
       "C    0    0    0    0    0    0    0    0    0    0    0\n",
       "D    0    0    0    0    0    0    0    0    0    0    0\n",
       "E    0    0    0    0    0    0    0    0    0    0    0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.DataFrame(0, index=caps, columns=[0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On Linux, the \"/usr/share/dict/words\" file usually contains a list of English words.  We can use the `head` command to see the first few lines.  Putting `!` in front of a command in Jupyter means to run this as a shell command (not Python code)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A\r\n",
      "a\r\n",
      "aa\r\n",
      "aal\r\n",
      "aalii\r\n",
      "aam\r\n",
      "Aani\r\n",
      "aardvark\r\n",
      "aardwolf\r\n",
      "Aaron\r\n"
     ]
    }
   ],
   "source": [
    "!head /usr/share/dict/words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If a letter is at index `i` within a string `word`, then this will give us the position of that letter in the range 0 (beginning) to 1 (end), rounded to the nearest tenth: `round(i / (len(word) - 1), ndigits=1)`.  Let's test that with a simple example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n",
      "0.5\n",
      "1.0\n"
     ]
    }
   ],
   "source": [
    "word = \"ABC\"\n",
    "i = 0 # at what percent through the word does A occur?\n",
    "print(round(i / (len(word) - 1), ndigits=1))\n",
    "i = 1 # at what percent through the word does B occur?\n",
    "print(round(i / (len(word) - 1), ndigits=1))\n",
    "i = 2 # at what percent through the word does C occur?\n",
    "print(round(i / (len(word) - 1), ndigits=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ok, let's now loop over every letter of every word in the English dictionary, counting it in our big table as we go (`df.at[letter, position] += 1`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"/usr/share/dict/words\") as f:\n",
    "    for word in list(f):\n",
    "        word = word.strip().upper()\n",
    "        if len(word) == 1:\n",
    "            continue\n",
    "        for i in range(len(word)):\n",
    "            letter = word[i]\n",
    "            position = round(i / (len(word) - 1) * 10) / 10\n",
    "            if not letter in caps:\n",
    "                continue\n",
    "            df.at[letter, position] += 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>0.0</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.2</th>\n",
       "      <th>0.3</th>\n",
       "      <th>0.4</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.6</th>\n",
       "      <th>0.7</th>\n",
       "      <th>0.8</th>\n",
       "      <th>0.9</th>\n",
       "      <th>1.0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>17111</td>\n",
       "      <td>20306</td>\n",
       "      <td>21680</td>\n",
       "      <td>14746</td>\n",
       "      <td>15727</td>\n",
       "      <td>15907</td>\n",
       "      <td>20566</td>\n",
       "      <td>20573</td>\n",
       "      <td>19775</td>\n",
       "      <td>20545</td>\n",
       "      <td>12616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>11068</td>\n",
       "      <td>1080</td>\n",
       "      <td>4285</td>\n",
       "      <td>3411</td>\n",
       "      <td>3812</td>\n",
       "      <td>3854</td>\n",
       "      <td>4102</td>\n",
       "      <td>2401</td>\n",
       "      <td>5502</td>\n",
       "      <td>441</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>19905</td>\n",
       "      <td>4555</td>\n",
       "      <td>11380</td>\n",
       "      <td>8937</td>\n",
       "      <td>10067</td>\n",
       "      <td>8836</td>\n",
       "      <td>9381</td>\n",
       "      <td>7208</td>\n",
       "      <td>6651</td>\n",
       "      <td>5192</td>\n",
       "      <td>11326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>10894</td>\n",
       "      <td>1501</td>\n",
       "      <td>6100</td>\n",
       "      <td>5240</td>\n",
       "      <td>5897</td>\n",
       "      <td>4598</td>\n",
       "      <td>5316</td>\n",
       "      <td>4610</td>\n",
       "      <td>5994</td>\n",
       "      <td>2052</td>\n",
       "      <td>15987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>8748</td>\n",
       "      <td>27212</td>\n",
       "      <td>23450</td>\n",
       "      <td>16643</td>\n",
       "      <td>19035</td>\n",
       "      <td>16813</td>\n",
       "      <td>17079</td>\n",
       "      <td>14914</td>\n",
       "      <td>26509</td>\n",
       "      <td>20730</td>\n",
       "      <td>44196</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     0.0    0.1    0.2    0.3    0.4    0.5    0.6    0.7    0.8    0.9    1.0\n",
       "A  17111  20306  21680  14746  15727  15907  20566  20573  19775  20545  12616\n",
       "B  11068   1080   4285   3411   3812   3854   4102   2401   5502    441    475\n",
       "C  19905   4555  11380   8937  10067   8836   9381   7208   6651   5192  11326\n",
       "D  10894   1501   6100   5240   5897   4598   5316   4610   5994   2052  15987\n",
       "E   8748  27212  23450  16643  19035  16813  17079  14914  26509  20730  44196"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's sum horizontally along each row, to determine the total number of occurences of each letter.  We can divide this by the total count and sort to rank the letters by frequency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "E    10.425848\n",
       "I     8.906289\n",
       "A     8.840809\n",
       "O     7.562128\n",
       "R     7.132076\n",
       "dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts = df.sum(axis=1)\n",
    "percents = counts / counts.sum() * 100\n",
    "percents = percents.sort_values(ascending=False)\n",
    "percents.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Text Annotations: Coordinates and Colors\n",
    "\n",
    "Eventually, we'll create a matrix like the following, using the first 26 subplots for the 26 letters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig, axes = plt.subplots(nrows=5, ncols=6, figsize=(12, 6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For now, let's think about how to plot one letter in one AxesSubplot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>0.0</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.2</th>\n",
       "      <th>0.3</th>\n",
       "      <th>0.4</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.6</th>\n",
       "      <th>0.7</th>\n",
       "      <th>0.8</th>\n",
       "      <th>0.9</th>\n",
       "      <th>1.0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>17111</td>\n",
       "      <td>20306</td>\n",
       "      <td>21680</td>\n",
       "      <td>14746</td>\n",
       "      <td>15727</td>\n",
       "      <td>15907</td>\n",
       "      <td>20566</td>\n",
       "      <td>20573</td>\n",
       "      <td>19775</td>\n",
       "      <td>20545</td>\n",
       "      <td>12616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>11068</td>\n",
       "      <td>1080</td>\n",
       "      <td>4285</td>\n",
       "      <td>3411</td>\n",
       "      <td>3812</td>\n",
       "      <td>3854</td>\n",
       "      <td>4102</td>\n",
       "      <td>2401</td>\n",
       "      <td>5502</td>\n",
       "      <td>441</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>19905</td>\n",
       "      <td>4555</td>\n",
       "      <td>11380</td>\n",
       "      <td>8937</td>\n",
       "      <td>10067</td>\n",
       "      <td>8836</td>\n",
       "      <td>9381</td>\n",
       "      <td>7208</td>\n",
       "      <td>6651</td>\n",
       "      <td>5192</td>\n",
       "      <td>11326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>10894</td>\n",
       "      <td>1501</td>\n",
       "      <td>6100</td>\n",
       "      <td>5240</td>\n",
       "      <td>5897</td>\n",
       "      <td>4598</td>\n",
       "      <td>5316</td>\n",
       "      <td>4610</td>\n",
       "      <td>5994</td>\n",
       "      <td>2052</td>\n",
       "      <td>15987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>8748</td>\n",
       "      <td>27212</td>\n",
       "      <td>23450</td>\n",
       "      <td>16643</td>\n",
       "      <td>19035</td>\n",
       "      <td>16813</td>\n",
       "      <td>17079</td>\n",
       "      <td>14914</td>\n",
       "      <td>26509</td>\n",
       "      <td>20730</td>\n",
       "      <td>44196</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     0.0    0.1    0.2    0.3    0.4    0.5    0.6    0.7    0.8    0.9    1.0\n",
       "A  17111  20306  21680  14746  15727  15907  20566  20573  19775  20545  12616\n",
       "B  11068   1080   4285   3411   3812   3854   4102   2401   5502    441    475\n",
       "C  19905   4555  11380   8937  10067   8836   9381   7208   6651   5192  11326\n",
       "D  10894   1501   6100   5240   5897   4598   5316   4610   5994   2052  15987\n",
       "E   8748  27212  23450  16643  19035  16813  17079  14914  26509  20730  44196"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`df.loc[SOME_LETTER]` pulls out a row of the big table (corresponding to the given letter) as a Series, which is easy enough to plot in a given ax."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    17111\n",
       "0.1    20306\n",
       "0.2    21680\n",
       "0.3    14746\n",
       "0.4    15727\n",
       "0.5    15907\n",
       "0.6    20566\n",
       "0.7    20573\n",
       "0.8    19775\n",
       "0.9    20545\n",
       "1.0    12616\n",
       "Name: A, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A = df.loc[\"A\"]\n",
    "A"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fe78fdd2518>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAANwAAACRCAYAAAConNYzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjEsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+j8jraAAAM3klEQVR4nO3df7BcZX3H8feHS7AOkjEhaUSS9DISRigzDeG2idpOsTgQHJxUaQU6SqpMgUKm1XGmIP9ojXbQabGmRcaoATJUM7SW9rYmprcRaykNcAORJPIjmfBDGCCRBKJjW4R++8d5bl2Xvfecvbt5dvfcz2vmzD33Oed7zrN793vP2WfPfo8iAjPL45hed8BsJnHCmWXkhDPLyAlnlpETziyjY3vdgemaN29eDA8P97obZq+xY8eOH0bE/FbLBjbhhoeHGR8f73U3zF5D0pOTLfMppVlGTjizjJxwZhkN7Hu4fvHYY49Nufy0007L1BMbBD7CmWXkhDPLyAlnlpETziyj0oSTtEjSXZK+L2mPpD9O7XMljUnam37OSe2StE7SPkkPSVrWsK3Vaf29klY3tJ8taVeKWSdJR+PBmvValVHKV4CPRcQDkk4AdkgaA34f2BYRN0i6DrgOuBa4AFiSpuXAzcBySXOBTwAjQKTtjEbE4bTOHwD3ApuBlcCW7j1M66apRmbLRmV7NarbL6PJpQkXEc8Cz6b5H0l6GDgZWAWck1a7DfgORcKtAjZG8VXy7ZLeKOmktO5YRBwCSEm7UtJ3gNkRsT21bwR+m4wJ18kLyKwdbb2HkzQMnEVxJFqQkhHgOWBBmj8Z+EFD2NOpbar2p1u0t9r/FZLGJY0fPHiwna6b9YXKH3xLegPwDeAjEXGk8W1WRISko14cJSLWA+sBRkZGXIxlhumX08JOVDrCSZpFkWx/ExF/n5qfT6eKpJ8HUvszwKKG8IWpbar2hS3azWqnyiilgK8CD0fEjQ2LRoGJkcbVwD82tF+WRitXAC+lU8+twHmS5qQRzfOArWnZEUkr0r4ua9iWWa1UOaV8B/BBYJeknanteuAG4A5JlwNPAu9PyzYD7wb2AT8BPgQQEYckrQXuT+t9amIABbgauBV4PcVgiUcorZaqjFLeDUz2udi5LdYP4JpJtrUB2NCifRw4s6wvZoPOV5qYZeSEM8vICWeWkRPOLCMnnFlGTjizjJxwZhk54cwyqk3VLn/FxgaBj3BmGTnhzDJywpll5IQzy8gJZ5ZRbUYprT0e1e2N0oSTtAG4EDgQEWemtk9SlLWbqORzfURsTss+DlwOvAr8UURsTe0rgS8AQ8BXIuKG1H4KsAk4EdgBfDAiXu7WA6yrOtT3mImqnFLeSlEnstnnI2JpmiaS7QzgEuCXU8wXJQ1JGgJuoqhZeQZwaVoX4LNpW6cChymS1ayWShMuIr4LHCpbL1kFbIqI/4mIxynKLPxamvZFxP509NoErEo1TH4L+LsUfxtFTUqzWupk0GRNKmW+YaLMOe3XpDwReDEiXmlqb8l1KW3QTXfQ5GZgLUXJ8rXAXwAf7lanJlO3upR+HzbzTCvhIuL5iXlJXwb+Of06We1JJml/AXijpGPTUc41Ka3WpnVKOVEANnkvsDvNjwKXSHpdGn1cAtxHURpviaRTJB1HMbAymip83QX8TopvrG9pVjtVPhb4OsWNOOZJepriDjjnSFpKcUr5BHAlQETskXQH8H2Ku+5cExGvpu2soSgGOwRsiIg9aRfXApskfRp4kKLorFktValLeWmL5kmTIiI+A3ymRftmiiKxze37KUYxzWrPl3aZZeSEM8vICWeWkRPOLCMnnFlGTjizjPx9OLMKuvX9QR/hzDJywpll5IQzy8gJZ5aRE84sIyecWUZOOLOMnHBmGZUmXCoSdEDS7oa2uZLGJO1NP+ekdklaJ2lfKjC0rCFmdVp/r6TVDe1nS9qVYtalSl5mtTTdupTXAdsiYgmwLf0ORd3JJWm6gqLYEJLmUnxTfDnFl00/0VDp62aKorITca1qYJrVwnTrUq6iqCEJP19LchWwMQrbKQoEnQScD4xFxKGIOAyMASvTstkRsT3VN9mI61JajU33PdyCiHg2zT8HLEjz7dalPDnNN7e35LqUNug6HjRJR6YsNSIjYn1EjETEyPz583Ps0qyrpptwz0+Uyks/D6T2yepSTtW+sEW7WS1NN+FGKWpIws/XkhwFLkujlSuAl9Kp51bgPElz0mDJecDWtOyIpBVpdPIyXJfSamy6dSlvAO6QdDnwJPD+tPpm4N0UN/H4CfAhgIg4JGktRUFYgE9FxMRAzNUUI6GvB7akyayWpluXEuDcFusGcM0k29kAbGjRPg6cWdYPszrwlSZmGTnhzDJywpll5IQzy8gJZ5aRE84sIyecWUZOOLOMnHBmGTnhzDJywpll5IQzy8gJZ5aRE84sIyecWUYdJZykJ1JNyZ2SxlNb12pWmtVNN45w74yIpRExkn7vZs1Ks1o5GqeUXalZeRT6ZdZznSZcAP8iaYekK1Jbt2pWvobrUtqgK61pUuLXI+IZSb8IjEl6pHFhRISkrtWsjIj1wHqAkZGRLLUwzbqpoyNcRDyTfh4A7qR4D9atmpVmtTPthJN0vKQTJuYpak3upks1K6fbL7N+1skp5QLgznR3qWOBr0XEtyTdT/dqVprVyrQTLiL2A7/Sov0FulSz0qxufKWJWUZOOLOMnHBmGTnhzDJywpll5IQzy8gJZ5aRE84sIyecWUZOOLOMnHBmGTnhzDJywpll5IQzy8gJZ5ZR3yScpJWSHk11K68rjzAbPH2RcJKGgJsoaleeAVwq6Yze9sqs+/oi4SiKD+2LiP0R8TKwiaKOpVmtdFomr1ta1aZc3rxSqn05Uf/yx5IenWR784AfdtCfTuJnWmwv992vsb802YJ+SbhKGutSTkXSeEPp9bZ1Ej/TYnu570GM7ZdTStemtBmhXxLufmCJpFMkHQdcQlHH0qxW+uKUMiJekbSGogDsELAhIvZ0sMnS086jGD/TYnu574GLVVEu0sxy6JdTSrMZwQlnlpETziwjJ5xZRrVKOElz0z3DZxxJy3qwz9mSzu7VPdklzZtGzBxJs49Gf6oY+ISTtFjSJkkHgXuB+yQdSG3DHWx3V8nyRWkf/y7pekmzGpb9Q4Xtv1XSFknflPQWSbdKelHSfZJOL4ld1jSdDYxKOqss8SR9uGF+oaRtab/3SDqtJPb2iRe5pPMp7gf4WWCnpN8tiT0k6SuSzlW6x1k7JF0g6XFJd6fHuQe4V9LTkl5zt6am2DdL2ijpJYpLsnZLekrSJxv/bhX6sKDhOV9QHtFCRAz0BPwncDEw1NA2RPHh+faS2PdNMl0EHCyJHQOuApYCfwXcA5yYlj1Yod/fBd4DXEpxH71LAKW2bSWx/5v2d1fD9F/p57dLYh9omL+D4trUY4D3Vtjvrob5e4DhND8P+F5J7KPAGuA/KK4i+gKwoo2/807gdOBtwAsTsantgZLYbwPnNPzNPw8cD3waWF9h30uB7cDDwL+m6ZHUtqyt12uvE6bTCdg7nWVp+U+BW4FbWkw/KnsBNP3+AWAP8JayF0Ba/8GG+X1Ny8peQBcB/wZc0ND2eMXnqzHhmh/DlP8o0uObnebvBo5pXNbGfhcDfwI8AOwH/qzNfv9gqr9Fi9jvNf2+o2H+kQr73gksb9G+ouwfTfPUF1eadGiHpC8Ct/Gzbxwsorjd8YMlsQ8Bfx4Ru5sXSHpXSewsSb8QEf8NEBG3S3qO4mqZ4yv0e6hh/samZcdNFRgR35C0FVibThE/BlS9gmGhpHUUR9P5kmZFxE/TsrLTqz8F7pJ0E8WR6m8ljQLvBL5VEvv/p5ER8RTwOeBzkt5KcYZS5kVJVwKzgcOSPkpxhH4X8OOS2IOSPkBxBvA+4AmAdGpb5W3V8RFxb3NjRGxPt9uurp3s7MeJ4sX5hxR/8F1p2gJcDbyuJPY3gMWTLBspif0o8Jst2s8Cxir0+0rgDS3aTwX+so3Hf1Z6IR2ouP7qpmlOan8T1Y40p1K8b7sT+CfgZuD8CnE3dvh3XgR8Ke3vTen53w18Ezi9JHYxRXLuBm4HTkrtJwIXVdj3urSfi4G3p+ni1PbX7TwOX9pVA+k/9QkRcaTXfakrSRdQfCn65NT0DDAaEZvb2c7Aj1JORdKFgxY7nfgoHOl034MYm2vfEbElIq6KiPek6ap2kw1qnnDArw5gbC/3PYixPd13qkJQff06nFKmN96tDvcP92vsoPZ7Jj5fJdu9MiK+VHX9gT/CSbqWouiQgPvSJODrKim316vYQe33THy+Kni5rbU7GTnqhwl4DJjVov04yj+H60nsoPZ7Jj5fFfr1VDvrD/wRjuKqize3aD8pLevH2F7uexBje7pvSQ9NMu0C2rrEqw4ffH8E2CZpLz/74HsxxedFa/o0dlD7PROfLyiS6nzgcFO7KC5xq6wugybHUBSTbXxDfH9EvNqvsYPa7xn6fH0VuCUi7m6x7GsR8XtV+g81STizQVGH93BmA8MJZ5aRE84sIyecWUb/B6gvtNZqzY2JAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 216x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(3,2))\n",
    "A.plot.bar(ax=ax, color=\"0.85\") # 0.5 is light gray (0 is black, 1 is white)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we like, we can add some text using `ax.plot(x, y, text)`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(3, 16000, 'hi')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 216x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(3,2))\n",
    "A.plot.bar(ax=ax, color=\"0.85\")\n",
    "ax.text(3, 16000, \"hi\", transform=ax.transData, size=20, color=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `transform=ax.transData` (which would have been the default had we exclude it) is telling matplotlib to interpret 3 and 16000 in terms of the scale of the data.  16000 makes sense by looking at the y-axis, but why is it 3 instead of 0.3?  Matplotlib is treating the x-axis like a category, even though it looks numeric, as we can see by looking at xlim:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 10.5)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.get_xlim()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`ax.transAxes` is a different coordinate system.  The bottom left of the subplot is x=0, y=0; the top right is x=1, y=1.  This is convenient, say, if we want to center the text (note that we're centering the bottom left of the text)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.5, 'hi')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 216x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(3,2))\n",
    "A.plot.bar(ax=ax, color=\"0.85\")\n",
    "ax.text(0.5, 0.5, \"hi\", transform=ax.transAxes, size=20, color=\"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can specify a negative x coord in the `ax.transAxes` coordinate system to make the text float to the left of the subplot.  Notice now that we're specifying the coordinates for the center (rather than the bottom left) by specifying alignment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(-0.4, 0.5, 'A')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 216x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(3,2))\n",
    "A.plot.bar(ax=ax, color=\"0.85\")\n",
    "ax.text(-0.4, 0.5, \"A\", size=32,\n",
    "        verticalalignment=\"center\", horizontalalignment=\"center\",\n",
    "        transform=ax.transAxes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Matplotlib has many colormaps that allow us to convert a quantity to point on a color bar: https://matplotlib.org/stable/gallery/color/colormap_reference.html.  Colors are represented as tuples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0.0, 1.0, 1.0, 1.0)\n",
      "(0.5019607843137255, 0.4980392156862745, 1.0, 1.0)\n",
      "(0.00392156862745098, 0.996078431372549, 1.0, 1.0)\n"
     ]
    }
   ],
   "source": [
    "print(plt.cm.cool(0))\n",
    "print(plt.cm.cool(0.5))\n",
    "print(plt.cm.cool(1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use these colors for our text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(-0.4, 0.7, 'C')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 216x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(3,2))\n",
    "A.plot.bar(ax=ax, color=\"0.85\")\n",
    "ax.text(-0.4, 0.3, \"A\", size=32, transform=ax.transAxes, color=plt.cm.cool(0))\n",
    "ax.text(-0.4, 0.5, \"B\", size=32, transform=ax.transAxes, color=plt.cm.cool(0.5))\n",
    "ax.text(-0.4, 0.7, \"C\", size=32, transform=ax.transAxes, color=plt.cm.cool(1.0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use these colors to indicate something about the data (like letter frequency)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Letter Frequencies: Putting it All Together\n",
    "\n",
    "We've seen how we can pull the info for a given letter necessary to create a bar plot showing the frequency of different locations.  We've also seen how we can use the `ax.text` and the `ax.transAxes` coordinate system to add some text to the left of a subplot.  We're going to need to create 26 such subplots, so lets put together all that we've done so far into a `plot_letter` function.  We pass in `letter`, and the function directly grabs the relevant data from our `df` earlier in the notebook.  We also pass in `ax` so that the function knows where to plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_letter(letter, ax):\n",
    "    percent = percents.at[letter]\n",
    "    color = plt.cm.cool(percent / percents.max())\n",
    "    positions = df.loc[letter]\n",
    "    positions = positions / positions.sum() * 100\n",
    "    positions = positions[:10]\n",
    "    ax.text(-0.4, 0.5, letter, size=32,\n",
    "            verticalalignment=\"center\", horizontalalignment=\"center\",\n",
    "            transform=ax.transAxes, color=color)\n",
    "    ax.text(-0.4, 0.1, str(round(percent, 1)) + \"%\", size=12,\n",
    "            horizontalalignment=\"center\", verticalalignment=\"center\",\n",
    "            transform=ax.transAxes)\n",
    "    positions.plot.bar(ax=ax, width=1, color=\"0.7\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x144 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, figsize=(6, 2))\n",
    "plt.subplots_adjust(wspace=1)\n",
    "plot_letter(\"H\", axes[0])\n",
    "plot_letter(\"I\", axes[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see we can use our `plot_letter` function to plots \"H\" and \"I\" in two subplots.  Let's try the whole alphabet.  Also, we can now get rid of the axes/borders using `ax.axis(\"off\")` for a cleaner plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=5, ncols=6, figsize=(12, 6))\n",
    "plt.subplots_adjust(wspace=1)\n",
    "axes = list(axes.reshape(-1))\n",
    "\n",
    "for i in range(len(percents)):\n",
    "    letter = percents.index[i]\n",
    "    plot_letter(letter, axes[i])\n",
    "\n",
    "for ax in axes:\n",
    "    ax.axis(\"off\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's save our work."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig.savefig(\"reading.png\", bbox_inches=\"tight\")"
   ]
  }
 ],
 "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": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
