pytrends-to-sheets.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Authorize Google Sheets Access and Write Data Frames into Sheets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### First let's connect our notebook to Google Sheets. To do this, you will need to enable some API's and create a secret client JSON file in order to authorize Sheets access. Make sure to implement all steps explained in here: https://gspread.readthedocs.io/en/latest/oauth2.html then you can just use these codes below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [],
   "source": [
    "import gspread\n",
    "from oauth2client.service_account import ServiceAccountCredentials\n",
    "\n",
    "links = ['https://spreadsheets.google.com/feeds',\n",
    "         'https://www.googleapis.com/auth/drive']\n",
    "\n",
    "credentials = ServiceAccountCredentials.from_json_keyfile_name('ENTER_YOUR_JSON_FILE_NAME_HERE.json', links)\n",
    "\n",
    "gc = gspread.authorize(credentials)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "sh = gc.create('MyCoolSpreadsheet')\n",
    "\n",
    "wks = gc.open(\"MyCoolSpreadsheet\").sheet1\n",
    "\n",
    "# check colab documents here for more examples --> https://colab.research.google.com/notebooks/io.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Creating a formula to send data frames into sheets : https://www.danielecook.com/from-pandas-to-google-sheets/\n",
    "\n",
    "def iter_pd(df):\n",
    "    for val in list(df.columns):\n",
    "        yield val\n",
    "    for row in df.values:\n",
    "        for val in list(row):\n",
    "            if pd.isna(val):\n",
    "                yield \"\"\n",
    "            else:\n",
    "                yield val\n",
    "\n",
    "def pandas_to_sheets(pandas_df, sheet, clear = True):\n",
    "    # Updates all values in a workbook to match a pandas dataframe\n",
    "    if clear:\n",
    "        sheet.clear()\n",
    "    (row, col) = pandas_df.shape\n",
    "    cells = sheet.range(\"A1:{}\".format(gspread.utils.rowcol_to_a1(row + 1, col)))\n",
    "    for cell, val in zip(cells, iter_pd(df)):\n",
    "        cell.value = val\n",
    "    sheet.update_cells(cells)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's read a csv file and write it into Google Sheets\n",
    "\n",
    "df = pd.read_csv(\"train.csv\")\n",
    "pandas_to_sheets(df, wks)"
   ]
  },
  {
   "attachments": {
    "2.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![2.png](attachment:2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### That's all for Google Sheets connections. Now I'll play with pytrends library to do more cool stuff ;)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pytrends\n",
    "from pytrends.request import TrendReq\n",
    "import pandas as pd\n",
    "import time\n",
    "import datetime\n",
    "from datetime import datetime, date, time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [],
   "source": [
    "pytrend = TrendReq()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'foundation': {'top':                         query  value\n",
      "0             best foundation    100\n",
      "1           makeup foundation     62\n",
      "2           powder foundation     42\n",
      "3            foundation brush     24\n",
      "4       maybelline foundation     23\n",
      "5                  maybelline     23\n",
      "6             ulta foundation     21\n",
      "7          sephora foundation     19\n",
      "8           liquid foundation     19\n",
      "9            cream foundation     19\n",
      "10       drugstore foundation     18\n",
      "11             mac foundation     18\n",
      "12            face foundation     17\n",
      "13   full coverage foundation     16\n",
      "14           foundation stick     16\n",
      "15            nars foundation     15\n",
      "16    foundation for dry skin     15\n",
      "17   foundation for oily skin     15\n",
      "18     best foundation makeup     15\n",
      "19  best drugstore foundation     14\n",
      "20    estee lauder foundation     14\n",
      "21          loreal foundation     13\n",
      "22                  covergirl     12\n",
      "23       covergirl foundation     12\n",
      "24           foundation match     12, 'rising':                                           query  value\n",
      "0                    wet n wild dewy foundation   8600\n",
      "1    maybelline dream radiant liquid foundation   8400\n",
      "2                milani screen queen foundation   7800\n",
      "3                      becca 24 hour foundation    700\n",
      "4                    becca cosmetics foundation    350\n",
      "5      laura mercier flawless fusion foundation    200\n",
      "6                        tarte foundation brush    200\n",
      "7                           dermacol foundation    190\n",
      "8                  too faced dew you foundation    170\n",
      "9            becca ultimate coverage foundation    160\n",
      "10                      concealer vs foundation    160\n",
      "11    becca aqua luminous perfecting foundation    150\n",
      "12                                   il makiage    130\n",
      "13  bobbi brown intensive skin serum foundation    130\n",
      "14              best foundation for older women    120\n",
      "15       best drugstore foundation for dry skin    110\n",
      "16                        il makiage foundation    100\n",
      "17        physicians formula healthy foundation    100\n",
      "18         jerome alexander airbrush foundation    100\n",
      "19                      best foundation at ulta     90\n",
      "20                 bobbi brown serum foundation     90\n",
      "21                    soap and glory foundation     80\n",
      "22                 best moisturizing foundation     70\n",
      "23                             stila foundation     70\n",
      "24                      becca foundation shades     70}}\n"
     ]
    }
   ],
   "source": [
    "pytrend.build_payload(kw_list=['foundation'], geo = 'US', timeframe = 'today 3-m', cat = 44)\n",
    "related_queries_dict = pytrend.related_queries()\n",
    "print(related_queries_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for example, lets enter some keywords here, select a time range and country\n",
    "pytrend.build_payload(kw_list=['tea', 'coffee', 'coke', 'milk', 'water'], timeframe='today 12-m', geo = 'US', cat =67)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            tea  coffee  coke  milk  water isPartial\n",
      "date                                                \n",
      "2019-02-03   31      29     4    22     74     False\n",
      "2019-02-10   31      29     4    22     73     False\n",
      "2019-02-17   33      28     4    21     74     False\n",
      "2019-02-24   31      27     4    21     74     False\n",
      "2019-03-03   32      28     4    22     72     False\n"
     ]
    }
   ],
   "source": [
    "#to get interest over time score, you'll need pytrend.interest_over_time() function. \n",
    "#For more functions, check this: https://github.com/GeneralMills/pytrends\n",
    "interest_over_time_df = pytrend.interest_over_time()\n",
    "print(interest_over_time_df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's draw\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(color_codes=True)\n",
    "ax = interest_over_time_df.plot.line(figsize = (9,6), title = \"Interest Over Time\")\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylabel('Trends Index')\n",
    "ax.tick_params(axis='both', which='major', labelsize=13)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### if you use pytrend.suggestions function, it'll return with 'type' section which gives you the category of suggested keyword.\n",
    "you can use it to tag your keywords and group them separately. Voila!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{'mid': '/m/01hjj_', 'title': 'Lodging', 'type': 'Topic'}, {'mid': '/m/0n3zgcz', 'title': 'trivago N.V.', 'type': 'Topic'}, {'mid': '/g/120yrv6h', 'title': 'Tourism', 'type': 'Topic'}, {'mid': '/g/11hbpdnwpl', 'title': 'Away', 'type': 'Luggage'}, {'mid': '/m/01_5hj', 'title': 'Caravan', 'type': 'Towed trailer'}] \n",
      "\n",
      "[{'mid': '/m/0mgkg', 'title': 'Amazon.com', 'type': 'E-commerce company'}, {'mid': '/m/0cx4p', 'title': 'Amazon Rainforest', 'type': 'Rainforest in Brazil'}, {'mid': '/g/11b6x7cx6n', 'title': 'Amazon Prime', 'type': 'Topic'}, {'mid': '/m/0gvlgh', 'title': 'Amazon Prime Video', 'type': 'Television channel'}, {'mid': '/m/0sd7', 'title': 'Amazon River', 'type': 'River in South America'}] \n",
      "\n",
      "[{'mid': '/m/01yrx', 'title': 'Cat', 'type': 'Animal'}, {'mid': '/m/01fh1_', 'title': 'Cats', 'type': 'Musical by T. S. Eliot'}, {'mid': '/m/0307l', 'title': 'Felidae', 'type': 'Animal'}, {'mid': '/m/03dkx', 'title': 'Geelong Football Club', 'type': 'Football club'}, {'mid': '/m/0ht80', 'title': 'Ketchup', 'type': 'Sauce'}] \n",
      "\n",
      "[{'mid': '/m/09tzfp', 'title': 'Apple MacBook Pro', 'type': 'Laptop'}, {'mid': '/g/11bydjm_78', 'title': 'MacBook Pro 13-inch', 'type': 'Laptop'}, {'mid': '/g/11g8lq9vs9', 'title': 'Apple MacBook Pro (13\", 2017, Two Thunderbolt 3 Ports)', 'type': 'Laptop'}, {'mid': '/g/11bw1f16m3', 'title': 'Apple MacBook Pro (Retina, 15\", Mid 2015)', 'type': 'Laptop'}, {'mid': '/g/11b6skc7__', 'title': 'Apple MacBook Pro (13\", Mid 2010)', 'type': 'Laptop'}] \n",
      "\n",
      "[{'mid': '/m/01599', 'title': 'Beer', 'type': 'Alcoholic drink'}, {'mid': '/m/068fpk', 'title': 'Drink coaster', 'type': 'Topic'}, {'mid': '/m/0r5_gvg', 'title': 'Heineken', 'type': 'Beer'}, {'mid': '/g/1215pllg', 'title': 'Craft beer', 'type': 'Topic'}, {'mid': '/m/01dws', 'title': 'Bear', 'type': 'Animal'}] \n",
      "\n",
      "[{'mid': '/m/03tb1', 'title': 'IKEA', 'type': 'Furniture retail company'}, {'mid': '/g/11f3_5hs9d', 'title': 'IKEA', 'type': 'Topic'}, {'mid': '/g/1vhq2ty2', 'title': 'IKEA', 'type': 'Furniture store in Frankfurt, Germany'}, {'mid': '/g/1tscn519', 'title': 'IKEA', 'type': 'Furniture store in Breda, Netherlands'}, {'mid': '/g/1jkwc1bp5', 'title': 'IKEA', 'type': 'Furniture store in Cologne, Germany'}] \n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(pytrend.suggestions(keyword='places to travel'), '\\n')\n",
    "print(pytrend.suggestions(keyword='amazon'), '\\n')\n",
    "print(pytrend.suggestions(keyword='cats'), '\\n')\n",
    "print(pytrend.suggestions(keyword='macbook pro'), '\\n')\n",
    "print(pytrend.suggestions(keyword='beer'), '\\n')\n",
    "print(pytrend.suggestions(keyword='ikea'), '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['/m/0j1rt7p', 'Search Engine Land', 'Blog'], ['/m/0mgkg', 'Amazon.com', 'E-commerce company'], ['/m/09tzfp', 'Apple MacBook Pro', 'Laptop'], ['/m/01599', 'Beer', 'Alcoholic drink'], ['/m/01yrx', 'Cat', 'Animal'], ['/m/03tb1', 'IKEA', 'Furniture retail company']]\n"
     ]
    }
   ],
   "source": [
    "searches = ['Search Engine Land', 'amazon', 'Macbook pro', 'beer', 'cats', 'ikea']\n",
    "brands = []\n",
    "for i in searches:\n",
    "        suggest = pytrend.suggestions(keyword=i) \n",
    "        brands.append([suggest[0]['mid'], suggest[0]['title'], suggest[0]['type']])\n",
    "\n",
    "print(brands)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [],
   "source": [
    "pytrend = TrendReq()\n",
    "import time\n",
    "from random import randint\n",
    "from time import sleep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "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>query</th>\n",
       "      <th>Rising Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>strawberry lipstick state of mind</td>\n",
       "      <td>3200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>oryza lipstick</td>\n",
       "      <td>2300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ogee lipstick</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>louis vuitton lipstick case</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>doll 10 lipstick</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>givenchy black lipstick</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>mac lipstick set</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>mac sin lipstick</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>bellapierre lipstick</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>matte lipstick set</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>realher lipstick</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>mac kiss of stars lipstick</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>drake lipstick alley</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>gucci lipstick</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jaclyn hill lipstick drama</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>givenchy black magic lipstick</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>molly ringwald lipstick</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>lipstick sets</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ruby woo lipstick</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lipstick set</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>mac ruby woo lipstick</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>mac whirl lipstick</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>shiseido lipstick</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>guerlain lipstick</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>best red lipstick 2019</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                query  Rising Percentage\n",
       "0   strawberry lipstick state of mind               3200\n",
       "1                      oryza lipstick               2300\n",
       "2                       ogee lipstick                350\n",
       "3         louis vuitton lipstick case                300\n",
       "4                    doll 10 lipstick                250\n",
       "5             givenchy black lipstick                200\n",
       "6                    mac lipstick set                200\n",
       "7                    mac sin lipstick                200\n",
       "8                bellapierre lipstick                200\n",
       "9                  matte lipstick set                190\n",
       "10                   realher lipstick                170\n",
       "11         mac kiss of stars lipstick                160\n",
       "12               drake lipstick alley                160\n",
       "13                     gucci lipstick                150\n",
       "14         jaclyn hill lipstick drama                120\n",
       "15      givenchy black magic lipstick                120\n",
       "16            molly ringwald lipstick                120\n",
       "17                      lipstick sets                120\n",
       "18                  ruby woo lipstick                 90\n",
       "19                       lipstick set                 90\n",
       "20              mac ruby woo lipstick                 90\n",
       "21                 mac whirl lipstick                 90\n",
       "22                  shiseido lipstick                 80\n",
       "23                  guerlain lipstick                 80\n",
       "24             best red lipstick 2019                 80"
      ]
     },
     "execution_count": 331,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dg=related_queries_dict.get('lipstick').get('rising')\n",
    "dg.rename(columns={'value': 'Rising Percentage'}, inplace = True)\n",
    "dg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'foundation': {'top':                         query  value\n",
      "0             best foundation    100\n",
      "1           makeup foundation     60\n",
      "2           powder foundation     41\n",
      "3                   concealer     28\n",
      "4            foundation brush     23\n",
      "5                  maybelline     23\n",
      "6       maybelline foundation     22\n",
      "7             ulta foundation     21\n",
      "8           liquid foundation     21\n",
      "9              mac foundation     20\n",
      "10         sephora foundation     19\n",
      "11   full coverage foundation     19\n",
      "12       drugstore foundation     18\n",
      "13           cream foundation     17\n",
      "14            nars foundation     17\n",
      "15          loreal foundation     16\n",
      "16    foundation for dry skin     16\n",
      "17    estee lauder foundation     16\n",
      "18           foundation stick     16\n",
      "19  best drugstore foundation     15\n",
      "20     best makeup foundation     15\n",
      "21           foundation match     14\n",
      "22   foundation for oily skin     13\n",
      "23   best coverage foundation     13\n",
      "24   bare minerals foundation     11, 'rising':                                          query  value\n",
      "0   maybelline dream radiant liquid foundation  15450\n",
      "1               milani screen queen foundation  11750\n",
      "2                     becca 24 hour foundation    500\n",
      "3                   becca cosmetics foundation    350\n",
      "4           becca ultimate coverage foundation    250\n",
      "5                     dior airflash foundation    250\n",
      "6                 bobbi brown serum foundation    200\n",
      "7               stila hide and chic foundation    190\n",
      "8    becca aqua luminous perfecting foundation    170\n",
      "9                                   il makiage    130\n",
      "10                          origins foundation    120\n",
      "11                     becca foundation shades    120\n",
      "12             bourjois healthy mix foundation    110\n",
      "13                      tarte foundation brush    110\n",
      "14             tarte amazonian clay foundation    100\n",
      "15              how to apply liquid foundation     90\n",
      "16                            almay foundation     80\n",
      "17                            becca foundation     80\n",
      "18          best foundation for sensitive skin     70\n",
      "19              cover fx power play foundation     60\n",
      "20                     moisturizing foundation     60\n",
      "21                          clarins foundation     60\n",
      "22                        two faced foundation     60\n",
      "23            bareminerals original foundation     60\n",
      "24                        best dewy foundation     60}, 'eyeliner': {'top':                        query  value\n",
      "0              best eyeliner    100\n",
      "1            liquid eyeliner     99\n",
      "2            how to eyeliner     85\n",
      "3            eyeliner pencil     58\n",
      "4            eyeliner makeup     49\n",
      "5          magnetic eyeliner     44\n",
      "6             black eyeliner     39\n",
      "7            winged eyeliner     31\n",
      "8        waterproof eyeliner     30\n",
      "9            eyeliner tattoo     28\n",
      "10            brown eyeliner     28\n",
      "11              gel eyeliner     25\n",
      "12              nyx eyeliner     25\n",
      "13       eyeliner maybelline     25\n",
      "14           magnetic lashes     24\n",
      "15        permanent eyeliner     24\n",
      "16        how to do eyeliner     23\n",
      "17  magnetic eyeliner lashes     23\n",
      "18        waterline eyeliner     21\n",
      "19      best liquid eyeliner     20\n",
      "20            white eyeliner     19\n",
      "21   best drugstore eyeliner     19\n",
      "22             ulta eyeliner     18\n",
      "23            stila eyeliner     18\n",
      "24          sephora eyeliner     18, 'rising':                                             query  value\n",
      "0                          kiss magnetic eyeliner  46100\n",
      "1                            kiss magnetic lashes  27000\n",
      "2                      best long lasting eyeliner  18400\n",
      "3               kiss magnetic eyeliner and lashes  13600\n",
      "4                         quikkat eyeliner strips  11450\n",
      "5                      illamasqua liquid eyeliner  10950\n",
      "6                             candy cane eyeliner   9050\n",
      "7                                  julep eyeliner   6650\n",
      "8         milani eye tech extreme liquid eyeliner   4750\n",
      "9                  neutrogena nourishing eyeliner   4600\n",
      "10  stila stay all day waterproof liquid eyeliner   4400\n",
      "11                                 sigma eyeliner    400\n",
      "12                              tattooed eyeliner    400\n",
      "13                      kat von d tattoo eyeliner    400\n",
      "14                urban decay perversion eyeliner    350\n",
      "15              best magnetic eyeliner and lashes    300\n",
      "16                        best magnetic eyelashes    300\n",
      "17                     permanent eyeliner near me    300\n",
      "18                                 kajal eyeliner    200\n",
      "19                        semi permanent eyeliner    190\n",
      "20                                 lorac eyeliner    190\n",
      "21                          eyeliner on waterline    190\n",
      "22                          long lasting eyeliner    180\n",
      "23                            wet n wild eyeliner    170\n",
      "24                                yellow eyeliner    170}, 'lipstick': {'top':                   query  value\n",
      "0        lipstick alley    100\n",
      "1                   mac     70\n",
      "2          mac lipstick     70\n",
      "3        matte lipstick     64\n",
      "4          red lipstick     56\n",
      "5         best lipstick     48\n",
      "6       liquid lipstick     43\n",
      "7   maybelline lipstick     20\n",
      "8         pink lipstick     19\n",
      "9         ulta lipstick     19\n",
      "10     sephora lipstick     18\n",
      "11        nude lipstick     18\n",
      "12      revlon lipstick     18\n",
      "13       black lipstick     18\n",
      "14       brown lipstick     17\n",
      "15         lipstick set     17\n",
      "16         nyx lipstick     17\n",
      "17      lipstick colors     17\n",
      "18        nars lipstick     13\n",
      "19        rose lipstick     12\n",
      "20       kylie lipstick     12\n",
      "21      chanel lipstick     11\n",
      "22    clinique lipstick     11\n",
      "23      loreal lipstick     11\n",
      "24   anastasia lipstick     11, 'rising':                                 query  value\n",
      "0   strawberry lipstick state of mind   3200\n",
      "1                      oryza lipstick   2300\n",
      "2                       ogee lipstick    350\n",
      "3         louis vuitton lipstick case    300\n",
      "4                    doll 10 lipstick    250\n",
      "5             givenchy black lipstick    200\n",
      "6                    mac lipstick set    200\n",
      "7                    mac sin lipstick    200\n",
      "8                bellapierre lipstick    200\n",
      "9                  matte lipstick set    190\n",
      "10                   realher lipstick    170\n",
      "11         mac kiss of stars lipstick    160\n",
      "12               drake lipstick alley    160\n",
      "13                     gucci lipstick    150\n",
      "14         jaclyn hill lipstick drama    120\n",
      "15      givenchy black magic lipstick    120\n",
      "16            molly ringwald lipstick    120\n",
      "17                      lipstick sets    120\n",
      "18                  ruby woo lipstick     90\n",
      "19                       lipstick set     90\n",
      "20              mac ruby woo lipstick     90\n",
      "21                 mac whirl lipstick     90\n",
      "22                  shiseido lipstick     80\n",
      "23                  guerlain lipstick     80\n",
      "24             best red lipstick 2019     80}, 'concealer': {'top':                          query  value\n",
      "0               best concealer    100\n",
      "1                   foundation     75\n",
      "2                eye concealer     54\n",
      "3              tarte concealer     42\n",
      "4             makeup concealer     40\n",
      "5          under eye concealer     39\n",
      "6                        tarte     39\n",
      "7         maybelline concealer     36\n",
      "8         shape tape concealer     26\n",
      "9               ulta concealer     25\n",
      "10                  shape tape     25\n",
      "11              nars concealer     24\n",
      "12          best eye concealer     23\n",
      "13         drugstore concealer     23\n",
      "14            tarte shape tape     19\n",
      "15               nyx concealer     19\n",
      "16    best under eye concealer     19\n",
      "17         too faced concealer     18\n",
      "18               elf concealer     18\n",
      "19             concealer stick     17\n",
      "20               mac concealer     17\n",
      "21  tarte shape tape concealer     17\n",
      "22    best drugstore concealer     17\n",
      "23           sephora concealer     17\n",
      "24             concealer brush     14, 'rising':                                               query  value\n",
      "0                                 celeste concealer  14550\n",
      "1                        hourglass vanish concealer  12350\n",
      "2               hourglass vanish airbrush concealer  10400\n",
      "3                      bobbi brown creamy concealer  10300\n",
      "4                  colourpop pretty fresh concealer  10150\n",
      "5                     messloe pore concealer review   6150\n",
      "6             little gold tube foundation concealer   4200\n",
      "7               instant pore concealer primer cream   4100\n",
      "8                                    wire concealer   4050\n",
      "9                            rcma concealer palette   4000\n",
      "10                               best concerts 2020   4000\n",
      "11                          pretty vulgar concealer    800\n",
      "12                     elf hydrating camo concealer    650\n",
      "13                              hourglass concealer    450\n",
      "14                                   pore concealer    350\n",
      "15                     colourpop concealer swatches    300\n",
      "16                      pore concealer primer cream    250\n",
      "17              does concealer go before foundation    250\n",
      "18  does concealer go on before or after foundation    200\n",
      "19                        covergirl concealer stick    200\n",
      "20                                   dior concealer    200\n",
      "21                    benefit brightening concealer    180\n",
      "22                          where does concealer go    180\n",
      "23        best under eye concealer for dark circles    160\n",
      "24                              hydrating concealer    140}}\n"
     ]
    }
   ],
   "source": [
    "pytrend.build_payload(kw_list=['foundation', 'eyeliner', 'lipstick', 'concealer'], geo = 'US', timeframe = 'today 3-m', cat = 44)\n",
    "related_queries_dict = pytrend.related_queries()\n",
    "print(related_queries_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat({k: pd.Series(v) for k, v in related_queries_dict.items()}).reset_index()\n",
    "df.columns = list('xyz')\n",
    "df.to_csv('rising2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat({k: pd.Series(v) for k, v in related_queries_dict.items()}).reset_index()\n",
    "df.columns = list('xyz')\n",
    "wks = gc.open(\"GoogleTrends\").sheet2\n",
    "pandas_to_sheets(df, wks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now let's say you have some important keywords you should track closely and want to get their trends data \n",
    "# and blend it with search console \n",
    "searches = ['detox', 'water fasting', 'benefits of fasting', 'fasting benefits', \n",
    "            'acidic', 'water diet', 'ozone therapy', 'colon hydrotherapy', 'water fast', \n",
    "            'reflexology', 'balance', 'deep tissue massage', 'cryo', 'healthy body', 'what is detox', \n",
    "            'the truth about cancer', 'dieta', 'reverse diabetes', 'how to reverse diabetes', 'water cleanse', \n",
    "            'can you drink water when fasting', 'water fasting benefits', 'glycemic load', 'anti ageing', \n",
    "            'how to water fast', 'ozone treatment', 'healthy mind', 'can you reverse diabetes', 'anti aging', \n",
    "            'health benefits of fasting', 'hydrocolonic', 'shiatsu massage', 'seaweed wrap', 'shiatsu', \n",
    "            'can you get rid of diabetes', 'how to get rid of diabetes', 'healthy body healthy mind', 'colonic hydrotherapy', \n",
    "            'green detox', 'what is water fasting', '21 day water fast', 'benefits of water fasting', 'cellulite', 'ty bollinger', \n",
    "            'detox diet', 'detox program', 'anti aging treatments', 'ketogenic', 'glycemic index', 'water fasting weight loss', \n",
    "            'keto diet plan', 'acidic symptoms', 'alkaline diet', 'water fasting diet', 'laser therapy', 'anti cellulite massage', \n",
    "            'swedish massage', 'benefit of fasting', 'detox your body', 'colon therapy', 'lifeco', 'reversing diabetes', 'detoxing', \n",
    "            'truth about cancer', 'how to remove acidity from body', '21 day water fast results', 'colon cleanse', 'fasting health benefits', \n",
    "            'antiaging', 'aromatheraphy massage']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [],
   "source": [
    "groupkeywords = list(zip(*[iter(searches)]*1))\n",
    "groupkeywords = [list(x) for x in groupkeywords]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['detox']"
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groupkeywords[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [],
   "source": [
    "dicti = {}\n",
    "i = 1\n",
    "for trending in groupkeywords:\n",
    "    pytrend.build_payload(trending, timeframe = 'today 3-m', geo = 'GB', cat = 44)\n",
    "    dicti[i] = pytrend.related_queries()\n",
    "    i+=1\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.concat(dicti, axis=1)\n",
    "result.columns = result.columns.droplevel(0)\n",
    "result = result.drop('isPartial', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "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>detox</th>\n",
       "      <th>water fasting</th>\n",
       "      <th>benefits of fasting</th>\n",
       "      <th>fasting benefits</th>\n",
       "      <th>acidic</th>\n",
       "      <th>water diet</th>\n",
       "      <th>ozone therapy</th>\n",
       "      <th>colon hydrotherapy</th>\n",
       "      <th>water fast</th>\n",
       "      <th>reflexology</th>\n",
       "      <th>...</th>\n",
       "      <th>benefit of fasting</th>\n",
       "      <th>detox your body</th>\n",
       "      <th>colon therapy</th>\n",
       "      <th>lifeco</th>\n",
       "      <th>reversing diabetes</th>\n",
       "      <th>detoxing</th>\n",
       "      <th>truth about cancer</th>\n",
       "      <th>colon cleanse</th>\n",
       "      <th>fasting health benefits</th>\n",
       "      <th>antiaging</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-10-31</th>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>27</td>\n",
       "      <td>31</td>\n",
       "      <td>48</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>99</td>\n",
       "      <td>15</td>\n",
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       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>49</td>\n",
       "      <td>29</td>\n",
       "      <td>26</td>\n",
       "      <td>56</td>\n",
       "      <td>59</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>53</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
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       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>51</td>\n",
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       "      <td>48</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-02</th>\n",
       "      <td>36</td>\n",
       "      <td>32</td>\n",
       "      <td>27</td>\n",
       "      <td>46</td>\n",
       "      <td>45</td>\n",
       "      <td>34</td>\n",
       "      <td>35</td>\n",
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       "      <td>46</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
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       "      <td>32</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>99</td>\n",
       "      <td>32</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-03</th>\n",
       "      <td>51</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>48</td>\n",
       "      <td>30</td>\n",
       "      <td>35</td>\n",
       "      <td>50</td>\n",
       "      <td>48</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>99</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-04</th>\n",
       "      <td>42</td>\n",
       "      <td>81</td>\n",
       "      <td>38</td>\n",
       "      <td>64</td>\n",
       "      <td>58</td>\n",
       "      <td>28</td>\n",
       "      <td>66</td>\n",
       "      <td>45</td>\n",
       "      <td>54</td>\n",
       "      <td>70</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>45</td>\n",
       "      <td>27</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-25</th>\n",
       "      <td>61</td>\n",
       "      <td>44</td>\n",
       "      <td>27</td>\n",
       "      <td>93</td>\n",
       "      <td>69</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>62</td>\n",
       "      <td>81</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>0</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-26</th>\n",
       "      <td>61</td>\n",
       "      <td>56</td>\n",
       "      <td>0</td>\n",
       "      <td>33</td>\n",
       "      <td>59</td>\n",
       "      <td>71</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>76</td>\n",
       "      <td>66</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>48</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-27</th>\n",
       "      <td>60</td>\n",
       "      <td>46</td>\n",
       "      <td>24</td>\n",
       "      <td>48</td>\n",
       "      <td>62</td>\n",
       "      <td>58</td>\n",
       "      <td>31</td>\n",
       "      <td>44</td>\n",
       "      <td>46</td>\n",
       "      <td>62</td>\n",
       "      <td>...</td>\n",
       "      <td>77</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>44</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-28</th>\n",
       "      <td>53</td>\n",
       "      <td>71</td>\n",
       "      <td>75</td>\n",
       "      <td>57</td>\n",
       "      <td>74</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>64</td>\n",
       "      <td>55</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "      <td>47</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-29</th>\n",
       "      <td>51</td>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>86</td>\n",
       "      <td>64</td>\n",
       "      <td>55</td>\n",
       "      <td>33</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>91 rows × 66 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            detox  water fasting  benefits of fasting  fasting benefits  \\\n",
       "2019-10-31     35             30                   27                31   \n",
       "2019-11-01     49             29                   26                56   \n",
       "2019-11-02     36             32                   27                46   \n",
       "2019-11-03     51             44                    0                47   \n",
       "2019-11-04     42             81                   38                64   \n",
       "...           ...            ...                  ...               ...   \n",
       "2020-01-25     61             44                   27                93   \n",
       "2020-01-26     61             56                    0                33   \n",
       "2020-01-27     60             46                   24                48   \n",
       "2020-01-28     53             71                   75                57   \n",
       "2020-01-29     51             54                    0                86   \n",
       "\n",
       "            acidic  water diet  ozone therapy  colon hydrotherapy  water fast  \\\n",
       "2019-10-31      48          25              0                  99          15   \n",
       "2019-11-01      59          19              0                  47          53   \n",
       "2019-11-02      45          34             35                  48          46   \n",
       "2019-11-03      48          30             35                  50          48   \n",
       "2019-11-04      58          28             66                  45          54   \n",
       "...            ...         ...            ...                 ...         ...   \n",
       "2020-01-25      69          30              0                  48          62   \n",
       "2020-01-26      59          71             33                   0          76   \n",
       "2020-01-27      62          58             31                  44          46   \n",
       "2020-01-28      74          37              0                  45          64   \n",
       "2020-01-29      64          55             33                   0          47   \n",
       "\n",
       "            reflexology  ...  benefit of fasting  detox your body  \\\n",
       "2019-10-31           50  ...                   0                0   \n",
       "2019-11-01           37  ...                   0               32   \n",
       "2019-11-02           64  ...                   0               32   \n",
       "2019-11-03          100  ...                   0                0   \n",
       "2019-11-04           70  ...                   0               30   \n",
       "...                 ...  ...                 ...              ...   \n",
       "2020-01-25           81  ...                   0                0   \n",
       "2020-01-26           66  ...                   0               61   \n",
       "2020-01-27           62  ...                  77               29   \n",
       "2020-01-28           55  ...                   0               30   \n",
       "2020-01-29           71  ...                   0               61   \n",
       "\n",
       "            colon therapy  lifeco  reversing diabetes  detoxing  \\\n",
       "2019-10-31              0      54                   0        33   \n",
       "2019-11-01              0      51                  49        48   \n",
       "2019-11-02             89       0                  99        32   \n",
       "2019-11-03             91       0                   0        99   \n",
       "2019-11-04              0       0                   0        30   \n",
       "...                   ...     ...                 ...       ...   \n",
       "2020-01-25             90       0                   0        44   \n",
       "2020-01-26              0      50                  48        47   \n",
       "2020-01-27              0      48                   0        58   \n",
       "2020-01-28              0      49                  47        30   \n",
       "2020-01-29              0       0                  46         0   \n",
       "\n",
       "            truth about cancer  colon cleanse  fasting health benefits  \\\n",
       "2019-10-31                   0             40                        0   \n",
       "2019-11-01                   0             24                       48   \n",
       "2019-11-02                   0             29                       48   \n",
       "2019-11-03                   0             20                        0   \n",
       "2019-11-04                  45             27                       45   \n",
       "...                        ...            ...                      ...   \n",
       "2020-01-25                   0             54                        0   \n",
       "2020-01-26                   0             28                        0   \n",
       "2020-01-27                  44             53                        0   \n",
       "2020-01-28                   0             18                        0   \n",
       "2020-01-29                   0             18                        0   \n",
       "\n",
       "            antiaging  \n",
       "2019-10-31          0  \n",
       "2019-11-01         52  \n",
       "2019-11-02          0  \n",
       "2019-11-03         54  \n",
       "2019-11-04          0  \n",
       "...               ...  \n",
       "2020-01-25          0  \n",
       "2020-01-26          0  \n",
       "2020-01-27          0  \n",
       "2020-01-28        100  \n",
       "2020-01-29         49  \n",
       "\n",
       "[91 rows x 66 columns]"
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2019-10-31</td>\n",
       "      <td>detox</td>\n",
       "      <td>35</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-11-01</td>\n",
       "      <td>detox</td>\n",
       "      <td>30</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>detox</td>\n",
       "      <td>35</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>detox</td>\n",
       "      <td>52</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-11-04</td>\n",
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       "      <td>41</td>\n",
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       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>6295</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>aromatheraphy massage</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6296</th>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>aromatheraphy massage</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6297</th>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>aromatheraphy massage</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6298</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>aromatheraphy massage</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6299</th>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>aromatheraphy massage</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6300 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date               variable  value\n",
       "0    2019-10-31                  detox     35\n",
       "1    2019-11-01                  detox     30\n",
       "2    2019-11-02                  detox     35\n",
       "3    2019-11-03                  detox     52\n",
       "4    2019-11-04                  detox     41\n",
       "...         ...                    ...    ...\n",
       "6295 2020-01-24  aromatheraphy massage      0\n",
       "6296 2020-01-25  aromatheraphy massage      0\n",
       "6297 2020-01-26  aromatheraphy massage      0\n",
       "6298 2020-01-27  aromatheraphy massage      0\n",
       "6299 2020-01-28  aromatheraphy massage      0\n",
       "\n",
       "[6300 rows x 3 columns]"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.reset_index(level=0, inplace=True)\n",
    "pd.melt(result, id_vars='date', value_vars=searches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "sh = gc.create('GoogleTrends')\n",
    "wks = gc.open(\"GoogleTrends\").sheet1\n",
    "pandas_to_sheets(result, wks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [],
   "source": [
    "dx.rename(columns={'date': 'Date'}, inplace = True)\n",
    "dx.rename(columns={'variable': 'Query'}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [],
   "source": [
    "dx = pd.read_excel('Trends.xlsx', sheet_name='trends')\n",
    "dz = pd.read_excel('Trends.xlsx', sheet_name = 'console')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>5910</th>\n",
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       "      <td>0</td>\n",
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       "      <th>5911</th>\n",
       "      <td>2020-01-25</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>5912</th>\n",
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       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5913</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5914</th>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5915 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date                            Query  value\n",
       "0    2019-10-30                            detox     39\n",
       "1    2019-10-31                            detox     31\n",
       "2    2019-11-01                            detox     36\n",
       "3    2019-11-02                            detox     35\n",
       "4    2019-11-03                            detox     40\n",
       "...         ...                              ...    ...\n",
       "5910 2020-01-24  how to remove acidity from body      0\n",
       "5911 2020-01-25  how to remove acidity from body      0\n",
       "5912 2020-01-26  how to remove acidity from body      0\n",
       "5913 2020-01-27  how to remove acidity from body      0\n",
       "5914 2020-01-28  how to remove acidity from body      0\n",
       "\n",
       "[5915 rows x 3 columns]"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>9.037126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-11-02</td>\n",
       "      <td>detox</td>\n",
       "      <td>35</td>\n",
       "      <td>1995</td>\n",
       "      <td>21</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>9.104261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>detox</td>\n",
       "      <td>40</td>\n",
       "      <td>2518</td>\n",
       "      <td>34</td>\n",
       "      <td>0.013503</td>\n",
       "      <td>8.868546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4916</th>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.042254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4917</th>\n",
       "      <td>2020-01-24</td>\n",
       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "      <td>63</td>\n",
       "      <td>2</td>\n",
       "      <td>0.031746</td>\n",
       "      <td>7.920635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4918</th>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>3</td>\n",
       "      <td>0.049180</td>\n",
       "      <td>7.163934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4919</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "      <td>57</td>\n",
       "      <td>3</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>7.052632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4920</th>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>how to remove acidity from body</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>1</td>\n",
       "      <td>0.016393</td>\n",
       "      <td>7.639344</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4921 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date                            Query  value  Impressions  Clicks  \\\n",
       "0    2019-10-30                            detox     39         3067      19   \n",
       "1    2019-10-31                            detox     31         2900      19   \n",
       "2    2019-11-01                            detox     36         2074      14   \n",
       "3    2019-11-02                            detox     35         1995      21   \n",
       "4    2019-11-03                            detox     40         2518      34   \n",
       "...         ...                              ...    ...          ...     ...   \n",
       "4916 2020-01-23  how to remove acidity from body      0           71       0   \n",
       "4917 2020-01-24  how to remove acidity from body      0           63       2   \n",
       "4918 2020-01-25  how to remove acidity from body      0           61       3   \n",
       "4919 2020-01-27  how to remove acidity from body      0           57       3   \n",
       "4920 2020-01-28  how to remove acidity from body      0           61       1   \n",
       "\n",
       "      Site CTR  Average Position  \n",
       "0     0.006195          9.266710  \n",
       "1     0.006552          9.528621  \n",
       "2     0.006750          9.037126  \n",
       "3     0.010526          9.104261  \n",
       "4     0.013503          8.868546  \n",
       "...        ...               ...  \n",
       "4916  0.000000          8.042254  \n",
       "4917  0.031746          7.920635  \n",
       "4918  0.049180          7.163934  \n",
       "4919  0.052632          7.052632  \n",
       "4920  0.016393          7.639344  \n",
       "\n",
       "[4921 rows x 7 columns]"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dm = pd.merge(dx, dz, on = ['Query', 'Date'])\n",
    "dm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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