notebooks/linecharts.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This notebook demonstrates how to use matplotlib and seaborn to build line charts involving major/ minor ticks, markers and data labels for the last point. It retrieve data tables from SingStat Table Builder using the [API function](https://www.tablebuilder.singstat.gov.sg/publicfacing/initApiList.action). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import urllib.request\n",
    "urlData = \"https://www.tablebuilder.singstat.gov.sg/publicfacing/api/json/title/15144.json\"\n",
    "\n",
    "webURL = urllib.request.urlopen(urlData)\n",
    "data = webURL.read()\n",
    "#print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = json.loads(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# note that there are two different kinds of data tables/ structures\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas.io.json import json_normalize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>level_1</th>\n",
       "      <th>quarter</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1992-Q1</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1992-Q1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1992-Q1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1992-Q2</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1992-Q2</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1992-Q2</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1992-Q3</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1992-Q3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1992-Q3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1992-Q4</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1992-Q4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1992-Q4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1993-Q1</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1993-Q1</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1993-Q1</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1993-Q2</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1993-Q2</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1993-Q2</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1993-Q3</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1993-Q3</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1993-Q3</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1993-Q4</td>\n",
       "      <td>1.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1993-Q4</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1993-Q4</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1994-Q1</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1994-Q1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1994-Q1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>1994-Q2</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>1994-Q2</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>1994-Q2</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2017-Q4</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2017-Q4</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2017-Q4</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2018-Q1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2018-Q1</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2018-Q1</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2018-Q2</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2018-Q2</td>\n",
       "      <td>3.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2018-Q2</td>\n",
       "      <td>4.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2018-Q3</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2018-Q3</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2018-Q3</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2018-Q4</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2018-Q4</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2018-Q4</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2019-Q1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2019-Q1</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2019-Q1</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2019-Q2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2019-Q2</td>\n",
       "      <td>4.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2019-Q2</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2019-Q3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2019-Q3</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2019-Q3</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2019-Q4</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>Total Unemployment Rate</td>\n",
       "      <td>2020-Q1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>Resident Unemployment Rate</td>\n",
       "      <td>2020-Q1</td>\n",
       "      <td>3.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>Citizen Unemployment Rate</td>\n",
       "      <td>2020-Q1</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>339 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        level_1  quarter value\n",
       "0       Total Unemployment Rate  1992-Q1   1.5\n",
       "1    Resident Unemployment Rate  1992-Q1   1.8\n",
       "2     Citizen Unemployment Rate  1992-Q1   1.8\n",
       "3       Total Unemployment Rate  1992-Q2   2.4\n",
       "4    Resident Unemployment Rate  1992-Q2   2.8\n",
       "5     Citizen Unemployment Rate  1992-Q2   2.9\n",
       "6       Total Unemployment Rate  1992-Q3   1.6\n",
       "7    Resident Unemployment Rate  1992-Q3     2\n",
       "8     Citizen Unemployment Rate  1992-Q3     2\n",
       "9       Total Unemployment Rate  1992-Q4   1.7\n",
       "10   Resident Unemployment Rate  1992-Q4     2\n",
       "11    Citizen Unemployment Rate  1992-Q4     2\n",
       "12      Total Unemployment Rate  1993-Q1   1.2\n",
       "13   Resident Unemployment Rate  1993-Q1   1.5\n",
       "14    Citizen Unemployment Rate  1993-Q1   1.6\n",
       "15      Total Unemployment Rate  1993-Q2   2.4\n",
       "16   Resident Unemployment Rate  1993-Q2   2.8\n",
       "17    Citizen Unemployment Rate  1993-Q2   2.9\n",
       "18      Total Unemployment Rate  1993-Q3   1.5\n",
       "19   Resident Unemployment Rate  1993-Q3   1.8\n",
       "20    Citizen Unemployment Rate  1993-Q3   1.9\n",
       "21      Total Unemployment Rate  1993-Q4   1.7\n",
       "22   Resident Unemployment Rate  1993-Q4   2.1\n",
       "23    Citizen Unemployment Rate  1993-Q4   2.1\n",
       "24      Total Unemployment Rate  1994-Q1   1.4\n",
       "25   Resident Unemployment Rate  1994-Q1   1.8\n",
       "26    Citizen Unemployment Rate  1994-Q1   1.8\n",
       "27      Total Unemployment Rate  1994-Q2   2.2\n",
       "28   Resident Unemployment Rate  1994-Q2   2.7\n",
       "29    Citizen Unemployment Rate  1994-Q2   2.8\n",
       "..                          ...      ...   ...\n",
       "309     Total Unemployment Rate  2017-Q4   1.8\n",
       "310  Resident Unemployment Rate  2017-Q4   2.5\n",
       "311   Citizen Unemployment Rate  2017-Q4   2.6\n",
       "312     Total Unemployment Rate  2018-Q1   1.9\n",
       "313  Resident Unemployment Rate  2018-Q1   2.7\n",
       "314   Citizen Unemployment Rate  2018-Q1   2.7\n",
       "315     Total Unemployment Rate  2018-Q2   2.7\n",
       "316  Resident Unemployment Rate  2018-Q2   3.9\n",
       "317   Citizen Unemployment Rate  2018-Q2   4.1\n",
       "318     Total Unemployment Rate  2018-Q3   1.9\n",
       "319  Resident Unemployment Rate  2018-Q3   2.5\n",
       "320   Citizen Unemployment Rate  2018-Q3   2.6\n",
       "321     Total Unemployment Rate  2018-Q4   1.9\n",
       "322  Resident Unemployment Rate  2018-Q4   2.6\n",
       "323   Citizen Unemployment Rate  2018-Q4   2.7\n",
       "324     Total Unemployment Rate  2019-Q1     2\n",
       "325  Resident Unemployment Rate  2019-Q1   2.8\n",
       "326   Citizen Unemployment Rate  2019-Q1   2.9\n",
       "327     Total Unemployment Rate  2019-Q2     3\n",
       "328  Resident Unemployment Rate  2019-Q2   4.2\n",
       "329   Citizen Unemployment Rate  2019-Q2   4.4\n",
       "330     Total Unemployment Rate  2019-Q3     2\n",
       "331  Resident Unemployment Rate  2019-Q3   2.8\n",
       "332   Citizen Unemployment Rate  2019-Q3   2.9\n",
       "333     Total Unemployment Rate  2019-Q4     2\n",
       "334  Resident Unemployment Rate  2019-Q4   2.7\n",
       "335   Citizen Unemployment Rate  2019-Q4   2.8\n",
       "336     Total Unemployment Rate  2020-Q1   2.3\n",
       "337  Resident Unemployment Rate  2020-Q1   3.1\n",
       "338   Citizen Unemployment Rate  2020-Q1   3.2\n",
       "\n",
       "[339 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# population by age group for year 2000 to 2019\n",
    "json_normalize(df['Level1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new = json_normalize(df['Level1'])\n",
    "df_new.columns = ['Type','Quarter','Rate']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Type       object\n",
       "Quarter    object\n",
       "Rate       object\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list(range(1992, 2020)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "range(0, 28)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "range(28)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new['Rate'] = df_new['Rate'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Total Unemployment Rate',\n",
       " 'Resident Unemployment Rate',\n",
       " 'Citizen Unemployment Rate']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(df_new['Type'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.ticker import (MultipleLocator, FormatStrFormatter,\n",
    "                               AutoMinorLocator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,9))\n",
    "\n",
    "#g = sns.lineplot(data = data, x='Quarter',y='Rate', hue='Type')\n",
    "x = df_new[df_new['Type']==list(df_new['Type'].unique())[0]]['Quarter']\n",
    "y = df_new[df_new['Type']==list(df_new['Type'].unique())[0]]['Rate']\n",
    "\n",
    "ax.plot(x, y, 'o',  ls='-', markevery=4) \n",
    "plt.xticks(rotation=45)\n",
    "plt.ylim(bottom=0)\n",
    "\n",
    "ax.xaxis.set_major_locator(MultipleLocator(4))\n",
    "#ax.xaxis.set_major_formatter(FormatStrFormatter('%d'))\n",
    "\n",
    "# For the minor ticks, use no labels; default NullFormatter.\n",
    "ax.xaxis.set_minor_locator(MultipleLocator(1))\n",
    "ax.yaxis.set_minor_locator(MultipleLocator(0.1))\n",
    "\n",
    "plt.title('Total Unemployment Rate in Singapore Since 1992', fontsize=14)\n",
    "plt.savefig('plotunemp.png', dpi=300, bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Citizen Unemployment Rate in Singapore Since 1992')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20,9))\n",
    "\n",
    "#g = sns.lineplot(data = data, x='Quarter',y='Rate', hue='Type')\n",
    "x = df_new[df_new['Type']==list(df_new['Type'].unique())[2]]['Quarter']\n",
    "y = df_new[df_new['Type']==list(df_new['Type'].unique())[2]]['Rate']\n",
    "\n",
    "ax.plot(x, y, 'o',  ls='-', markevery=4, color='green')\n",
    "plt.xticks(rotation=45)\n",
    "plt.ylim(bottom=0)\n",
    "\n",
    "ax.xaxis.set_major_locator(MultipleLocator(4))\n",
    "#ax.xaxis.set_major_formatter(FormatStrFormatter('%d'))\n",
    "\n",
    "# For the minor ticks, use no labels; default NullFormatter.\n",
    "ax.xaxis.set_minor_locator(MultipleLocator(1))\n",
    "ax.yaxis.set_minor_locator(MultipleLocator(0.1))\n",
    "\n",
    "plt.title('Citizen Unemployment Rate in Singapore Since 1992', fontsize=14)\n",
    "#plt.savefig('plotunemp.png', dpi=300, bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "urlData = \"https://www.tablebuilder.singstat.gov.sg/publicfacing/api/json/title/14603.json\"\n",
    "\n",
    "webURL = urllib.request.urlopen(urlData)\n",
    "data = webURL.read()\n",
    "df = json.loads(data)\n",
    "df_new = json_normalize(df['Level1'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>level_1</th>\n",
       "      <th>value</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Median (50th Percentile)</td>\n",
       "      <td>3949</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>2012</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Median (50th Percentile)</td>\n",
       "      <td>4056</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>2106</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Median (50th Percentile)</td>\n",
       "      <td>4232</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>2200</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Median (50th Percentile)</td>\n",
       "      <td>4437</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>2340</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Median (50th Percentile)</td>\n",
       "      <td>4563</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>na</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     level_1 value  year\n",
       "28  Median (50th Percentile)  3949  2015\n",
       "29           20th Percentile  2012  2015\n",
       "30  Median (50th Percentile)  4056  2016\n",
       "31           20th Percentile  2106  2016\n",
       "32  Median (50th Percentile)  4232  2017\n",
       "33           20th Percentile  2200  2017\n",
       "34  Median (50th Percentile)  4437  2018\n",
       "35           20th Percentile  2340  2018\n",
       "36  Median (50th Percentile)  4563  2019\n",
       "37           20th Percentile    na  2019"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "level_1    object\n",
       "value      object\n",
       "year       object\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new['value'] = pd.to_numeric(df_new['value'], errors=\"coerce\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>level_1</th>\n",
       "      <th>value</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>2200.0</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Median (50th Percentile)</td>\n",
       "      <td>4437.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>2340.0</td>\n",
       "      <td>2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Median (50th Percentile)</td>\n",
       "      <td>4563.0</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>20th Percentile</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     level_1   value  year\n",
       "33           20th Percentile  2200.0  2017\n",
       "34  Median (50th Percentile)  4437.0  2018\n",
       "35           20th Percentile  2340.0  2018\n",
       "36  Median (50th Percentile)  4563.0  2019\n",
       "37           20th Percentile     NaN  2019"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new['year'] = df_new['year'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_new.columns=['Percentile','Income','Year']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Gross Monthly Income From Work (Including Employer CPF) Of Full-time Employed Residents, Annual')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plt.figure(figsize=(10,6))\n",
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "sns.lineplot(data=df_new, x='Year',y='Income',hue='Percentile')\n",
    "plt.ylim(bottom=0)\n",
    "plt.xlim(df_new['Year'].min()-1, df_new['Year'].max()+1)\n",
    "ax.xaxis.set_major_locator(MultipleLocator(2))\n",
    "ax.yaxis.set_minor_locator(MultipleLocator(100))\n",
    "\n",
    "text1=df_new[(df_new['Year']==2019) & (df_new['Percentile']=='Median (50th Percentile)')]['Income'].astype(int).to_string(index=False)\n",
    "plt.text(df_new[(df_new['Year']==2019) & (df_new['Percentile']=='Median (50th Percentile)')]['Year'], \n",
    "            df_new[(df_new['Year']==2019) & (df_new['Percentile']=='Median (50th Percentile)')]['Income'], text1)\n",
    "\n",
    "text2=df_new[(df_new['Year']==2018) & (df_new['Percentile']=='20th Percentile')]['Income'].astype(int).to_string(index=False)\n",
    "plt.text(df_new[(df_new['Year']==2018) & (df_new['Percentile']=='20th Percentile')]['Year'], \n",
    "            df_new[(df_new['Year']==2018) & (df_new['Percentile']=='20th Percentile')]['Income'], text2)\n",
    "\n",
    "plt.title('Gross Monthly Income From Work (Including Employer CPF) Of Full-time Employed Residents, Annual', fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "References:  \n",
    "https://matplotlib.org/3.1.0/gallery/ticks_and_spines/major_minor_demo.html      \n",
    "https://stackoverflow.com/questions/44785722/adding-label-to-last-point-matplotlib-line-chart  "
   ]
  }
 ],
 "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}