givenchy_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>Item</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Neckerchief/Bandana/Handkerchief</td>\n",
       "      <td>$60</td>\n",
       "      <td>about 12 hours ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Givenchy Colombian Fit Abstract Girl Oversized...</td>\n",
       "      <td>$115</td>\n",
       "      <td>about 21 hours ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Givenchy t shirt red</td>\n",
       "      <td>$210</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Givenchy Pandora Bag black</td>\n",
       "      <td>$700</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rare Givenchy Black Crystal Ice Stud Earrings</td>\n",
       "      <td>$89</td>\n",
       "      <td>2 days ago</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Item Price                Date\n",
       "0                   Neckerchief/Bandana/Handkerchief   $60  about 12 hours ago\n",
       "1  Givenchy Colombian Fit Abstract Girl Oversized...  $115  about 21 hours ago\n",
       "2                               Givenchy t shirt red  $210           1 day ago\n",
       "3                         Givenchy Pandora Bag black  $700           1 day ago\n",
       "4      Rare Givenchy Black Crystal Ice Stud Earrings   $89          2 days ago"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "givenchy = pd.DataFrame()\n",
    "\n",
    "givenchy = pd.read_csv(\"/Users/lukedobrovic/Data/Finished Projects/alyx/givenchy.csv\", index_col = 0)\n",
    "givenchy.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Item</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Neckerchief/Bandana/Handkerchief</td>\n",
       "      <td>$60</td>\n",
       "      <td>0 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Givenchy Colombian Fit Abstract Girl Oversized...</td>\n",
       "      <td>$115</td>\n",
       "      <td>0 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Givenchy t shirt red</td>\n",
       "      <td>$210</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Givenchy Pandora Bag black</td>\n",
       "      <td>$700</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rare Givenchy Black Crystal Ice Stud Earrings</td>\n",
       "      <td>$89</td>\n",
       "      <td>2 days ago</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Item Price        Date\n",
       "0                   Neckerchief/Bandana/Handkerchief   $60  0 days ago\n",
       "1  Givenchy Colombian Fit Abstract Girl Oversized...  $115  0 days ago\n",
       "2                               Givenchy t shirt red  $210   1 day ago\n",
       "3                         Givenchy Pandora Bag black  $700   1 day ago\n",
       "4      Rare Givenchy Black Crystal Ice Stud Earrings   $89  2 days ago"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change sales with \"hours ago\" to \"0 days ago\"\n",
    "\n",
    "counter = 0\n",
    "for index, row in givenchy.iterrows():\n",
    "    if \"hours\" in row[\"Date\"]:\n",
    "        givenchy.loc[counter, \"Date\"] = \"0 days ago\"\n",
    "    counter +=1\n",
    "\n",
    "givenchy.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Item</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>Givenchy Paris Printed T-Shirt</td>\n",
       "      <td>$155</td>\n",
       "      <td>29 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>Vintage Givenchy Polo Shirt. Large Grey</td>\n",
       "      <td>$33</td>\n",
       "      <td>29 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>Embroidered Patch Stars with Paisley Print T S...</td>\n",
       "      <td>$130</td>\n",
       "      <td>29 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>Givenchy ankle boots 42</td>\n",
       "      <td>$250</td>\n",
       "      <td>29 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>FINAL DROP! Givenchy Polo Tee</td>\n",
       "      <td>$43</td>\n",
       "      <td>30 days ago</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  Item Price         Date\n",
       "282                     Givenchy Paris Printed T-Shirt  $155  29 days ago\n",
       "283            Vintage Givenchy Polo Shirt. Large Grey   $33  29 days ago\n",
       "284  Embroidered Patch Stars with Paisley Print T S...  $130  29 days ago\n",
       "285                            Givenchy ankle boots 42  $250  29 days ago\n",
       "286                      FINAL DROP! Givenchy Polo Tee   $43  30 days ago"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop all sales outside of the month of data collection\n",
    "\n",
    "months = [\"about 1 month ago\", \n",
    "          \"about 2 months ago\", \n",
    "          \"2 months ago\", \n",
    "          \"3 months ago\", \n",
    "          \"4 months ago\", \n",
    "          \"5 months ago\", \n",
    "          \"6 months ago\",\n",
    "          \"7 months ago\", \n",
    "          \"8 months ago\", \n",
    "          \"9 months ago\", \n",
    "          \"10 months ago\", \n",
    "          \"11 months ago\", \n",
    "          \"12 months ago\", \n",
    "          \"about 1 year ago\"]\n",
    "\n",
    "indices = givenchy.loc[givenchy['Date'].isin(months)].index\n",
    "givenchy = givenchy.drop(indices, axis=0)\n",
    "\n",
    "givenchy.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Item</th>\n",
       "      <th>Price</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Neckerchief/Bandana/Handkerchief</td>\n",
       "      <td>60</td>\n",
       "      <td>0 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Givenchy Colombian Fit Abstract Girl Oversized...</td>\n",
       "      <td>115</td>\n",
       "      <td>0 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Givenchy t shirt red</td>\n",
       "      <td>210</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Givenchy Pandora Bag black</td>\n",
       "      <td>700</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Rare Givenchy Black Crystal Ice Stud Earrings</td>\n",
       "      <td>89</td>\n",
       "      <td>2 days ago</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Item  Price        Date\n",
       "0                   Neckerchief/Bandana/Handkerchief     60  0 days ago\n",
       "1  Givenchy Colombian Fit Abstract Girl Oversized...    115  0 days ago\n",
       "2                               Givenchy t shirt red    210   1 day ago\n",
       "3                         Givenchy Pandora Bag black    700   1 day ago\n",
       "4      Rare Givenchy Black Crystal Ice Stud Earrings     89  2 days ago"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Convert \"Price\" column datatype from other to int\n",
    "\n",
    "givenchy['Price'] = givenchy['Price'].replace('[\\$\\,\\.]', '', regex=True).astype(int)\n",
    "givenchy.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49435"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "givenchy[\"Price\"].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>MSV</th>\n",
       "      <th>GSV</th>\n",
       "      <th>TV</th>\n",
       "      <th>Days Ago</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>87.50</td>\n",
       "      <td>175</td>\n",
       "      <td>2</td>\n",
       "      <td>0 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>455.00</td>\n",
       "      <td>910</td>\n",
       "      <td>2</td>\n",
       "      <td>1 day ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>155.75</td>\n",
       "      <td>1869</td>\n",
       "      <td>12</td>\n",
       "      <td>10 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98.75</td>\n",
       "      <td>395</td>\n",
       "      <td>4</td>\n",
       "      <td>11 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>224.91</td>\n",
       "      <td>2474</td>\n",
       "      <td>11</td>\n",
       "      <td>12 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>218.29</td>\n",
       "      <td>3711</td>\n",
       "      <td>17</td>\n",
       "      <td>13 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>136.67</td>\n",
       "      <td>2050</td>\n",
       "      <td>15</td>\n",
       "      <td>14 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>148.38</td>\n",
       "      <td>1187</td>\n",
       "      <td>8</td>\n",
       "      <td>15 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>297.50</td>\n",
       "      <td>1785</td>\n",
       "      <td>6</td>\n",
       "      <td>16 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>157.54</td>\n",
       "      <td>2048</td>\n",
       "      <td>13</td>\n",
       "      <td>17 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>162.73</td>\n",
       "      <td>1790</td>\n",
       "      <td>11</td>\n",
       "      <td>18 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>215.00</td>\n",
       "      <td>1935</td>\n",
       "      <td>9</td>\n",
       "      <td>19 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>89.00</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>2 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>170.80</td>\n",
       "      <td>1708</td>\n",
       "      <td>10</td>\n",
       "      <td>20 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>153.14</td>\n",
       "      <td>1072</td>\n",
       "      <td>7</td>\n",
       "      <td>21 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>172.85</td>\n",
       "      <td>3457</td>\n",
       "      <td>20</td>\n",
       "      <td>22 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>165.80</td>\n",
       "      <td>2487</td>\n",
       "      <td>15</td>\n",
       "      <td>23 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>192.88</td>\n",
       "      <td>1543</td>\n",
       "      <td>8</td>\n",
       "      <td>24 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>109.17</td>\n",
       "      <td>655</td>\n",
       "      <td>6</td>\n",
       "      <td>25 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>158.42</td>\n",
       "      <td>1901</td>\n",
       "      <td>12</td>\n",
       "      <td>26 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>232.50</td>\n",
       "      <td>2325</td>\n",
       "      <td>10</td>\n",
       "      <td>27 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>211.94</td>\n",
       "      <td>3391</td>\n",
       "      <td>16</td>\n",
       "      <td>28 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>152.64</td>\n",
       "      <td>2137</td>\n",
       "      <td>14</td>\n",
       "      <td>29 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>111.67</td>\n",
       "      <td>1005</td>\n",
       "      <td>9</td>\n",
       "      <td>3 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>43.00</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>30 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>184.17</td>\n",
       "      <td>1105</td>\n",
       "      <td>6</td>\n",
       "      <td>4 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>115.33</td>\n",
       "      <td>346</td>\n",
       "      <td>3</td>\n",
       "      <td>5 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>103.89</td>\n",
       "      <td>935</td>\n",
       "      <td>9</td>\n",
       "      <td>6 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>141.91</td>\n",
       "      <td>1561</td>\n",
       "      <td>11</td>\n",
       "      <td>7 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>168.25</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>8 days ago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>189.57</td>\n",
       "      <td>1327</td>\n",
       "      <td>7</td>\n",
       "      <td>9 days ago</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       MSV   GSV  TV     Days Ago\n",
       "0    87.50   175   2   0 days ago\n",
       "1   455.00   910   2    1 day ago\n",
       "2   155.75  1869  12  10 days ago\n",
       "3    98.75   395   4  11 days ago\n",
       "4   224.91  2474  11  12 days ago\n",
       "5   218.29  3711  17  13 days ago\n",
       "6   136.67  2050  15  14 days ago\n",
       "7   148.38  1187   8  15 days ago\n",
       "8   297.50  1785   6  16 days ago\n",
       "9   157.54  2048  13  17 days ago\n",
       "10  162.73  1790  11  18 days ago\n",
       "11  215.00  1935   9  19 days ago\n",
       "12   89.00    89   1   2 days ago\n",
       "13  170.80  1708  10  20 days ago\n",
       "14  153.14  1072   7  21 days ago\n",
       "15  172.85  3457  20  22 days ago\n",
       "16  165.80  2487  15  23 days ago\n",
       "17  192.88  1543   8  24 days ago\n",
       "18  109.17   655   6  25 days ago\n",
       "19  158.42  1901  12  26 days ago\n",
       "20  232.50  2325  10  27 days ago\n",
       "21  211.94  3391  16  28 days ago\n",
       "22  152.64  2137  14  29 days ago\n",
       "23  111.67  1005   9   3 days ago\n",
       "24   43.00    43   1  30 days ago\n",
       "25  184.17  1105   6   4 days ago\n",
       "26  115.33   346   3   5 days ago\n",
       "27  103.89   935   9   6 days ago\n",
       "28  141.91  1561  11   7 days ago\n",
       "29  168.25  2019  12   8 days ago\n",
       "30  189.57  1327   7   9 days ago"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create analytics DF with MSV, GSV, and TV by calculations on sales grouped by the day\n",
    "\n",
    "analytics = pd.DataFrame()\n",
    "analytics\n",
    "\n",
    "MSV = round(givenchy.groupby([\"Date\"])[\"Price\"].mean(), 2)\n",
    "analytics[\"MSV\"] = MSV\n",
    "\n",
    "GSV = round(givenchy.groupby([\"Date\"])[\"Price\"].sum(), 2)\n",
    "analytics[\"GSV\"] = GSV\n",
    "\n",
    "TV = givenchy.groupby([\"Date\"])[\"Date\"].count()\n",
    "analytics[\"TV\"] = TV\n",
    "\n",
    "analytics[\"Days Ago\"] = analytics.index\n",
    "analytics.reset_index(inplace=True, drop=True)\n",
    "\n",
    "analytics"
   ]
  },
  {
   "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>MSV</th>\n",
       "      <th>GSV</th>\n",
       "      <th>TV</th>\n",
       "      <th>Days Ago</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>43.00</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>152.64</td>\n",
       "      <td>2137</td>\n",
       "      <td>14</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>211.94</td>\n",
       "      <td>3391</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>232.50</td>\n",
       "      <td>2325</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>158.42</td>\n",
       "      <td>1901</td>\n",
       "      <td>12</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>109.17</td>\n",
       "      <td>655</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>192.88</td>\n",
       "      <td>1543</td>\n",
       "      <td>8</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>165.80</td>\n",
       "      <td>2487</td>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>172.85</td>\n",
       "      <td>3457</td>\n",
       "      <td>20</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>153.14</td>\n",
       "      <td>1072</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>170.80</td>\n",
       "      <td>1708</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>215.00</td>\n",
       "      <td>1935</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>162.73</td>\n",
       "      <td>1790</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>157.54</td>\n",
       "      <td>2048</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>297.50</td>\n",
       "      <td>1785</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>148.38</td>\n",
       "      <td>1187</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>136.67</td>\n",
       "      <td>2050</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>218.29</td>\n",
       "      <td>3711</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>224.91</td>\n",
       "      <td>2474</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>98.75</td>\n",
       "      <td>395</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>155.75</td>\n",
       "      <td>1869</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>189.57</td>\n",
       "      <td>1327</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>168.25</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>141.91</td>\n",
       "      <td>1561</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>103.89</td>\n",
       "      <td>935</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>115.33</td>\n",
       "      <td>346</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>184.17</td>\n",
       "      <td>1105</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>111.67</td>\n",
       "      <td>1005</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>89.00</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>455.00</td>\n",
       "      <td>910</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>87.50</td>\n",
       "      <td>175</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       MSV   GSV  TV  Days Ago\n",
       "24   43.00    43   1        30\n",
       "22  152.64  2137  14        29\n",
       "21  211.94  3391  16        28\n",
       "20  232.50  2325  10        27\n",
       "19  158.42  1901  12        26\n",
       "18  109.17   655   6        25\n",
       "17  192.88  1543   8        24\n",
       "16  165.80  2487  15        23\n",
       "15  172.85  3457  20        22\n",
       "14  153.14  1072   7        21\n",
       "13  170.80  1708  10        20\n",
       "11  215.00  1935   9        19\n",
       "10  162.73  1790  11        18\n",
       "9   157.54  2048  13        17\n",
       "8   297.50  1785   6        16\n",
       "7   148.38  1187   8        15\n",
       "6   136.67  2050  15        14\n",
       "5   218.29  3711  17        13\n",
       "4   224.91  2474  11        12\n",
       "3    98.75   395   4        11\n",
       "2   155.75  1869  12        10\n",
       "30  189.57  1327   7         9\n",
       "29  168.25  2019  12         8\n",
       "28  141.91  1561  11         7\n",
       "27  103.89   935   9         6\n",
       "26  115.33   346   3         5\n",
       "25  184.17  1105   6         4\n",
       "23  111.67  1005   9         3\n",
       "12   89.00    89   1         2\n",
       "1   455.00   910   2         1\n",
       "0    87.50   175   2         0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Gather Days Ago as int, use to sort the DF\n",
    "\n",
    "counter = 0\n",
    "for row in analytics.iterrows():\n",
    "    phrase = analytics.loc[counter, \"Days Ago\"]\n",
    "#     print(phrase)\n",
    "    num = int(phrase.split(\" \")[0])\n",
    "    analytics.loc[counter, \"Days Ago\"] = num\n",
    "    counter +=1\n",
    "    \n",
    "sorted = analytics.sort_values(by = [\"Days Ago\"], ascending = False)\n",
    "\n",
    "sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>MSV</th>\n",
       "      <th>GSV</th>\n",
       "      <th>TV</th>\n",
       "      <th>Days Ago</th>\n",
       "      <th>Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>152.64</td>\n",
       "      <td>2137</td>\n",
       "      <td>14</td>\n",
       "      <td>29</td>\n",
       "      <td>2020-06-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>211.94</td>\n",
       "      <td>3391</td>\n",
       "      <td>16</td>\n",
       "      <td>28</td>\n",
       "      <td>2020-06-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>232.50</td>\n",
       "      <td>2325</td>\n",
       "      <td>10</td>\n",
       "      <td>27</td>\n",
       "      <td>2020-06-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>158.42</td>\n",
       "      <td>1901</td>\n",
       "      <td>12</td>\n",
       "      <td>26</td>\n",
       "      <td>2020-06-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>109.17</td>\n",
       "      <td>655</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "      <td>2020-06-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>192.88</td>\n",
       "      <td>1543</td>\n",
       "      <td>8</td>\n",
       "      <td>24</td>\n",
       "      <td>2020-06-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>165.80</td>\n",
       "      <td>2487</td>\n",
       "      <td>15</td>\n",
       "      <td>23</td>\n",
       "      <td>2020-06-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>172.85</td>\n",
       "      <td>3457</td>\n",
       "      <td>20</td>\n",
       "      <td>22</td>\n",
       "      <td>2020-06-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>153.14</td>\n",
       "      <td>1072</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>2020-06-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>170.80</td>\n",
       "      <td>1708</td>\n",
       "      <td>10</td>\n",
       "      <td>20</td>\n",
       "      <td>2020-06-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>215.00</td>\n",
       "      <td>1935</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>2020-06-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>162.73</td>\n",
       "      <td>1790</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>2020-06-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>157.54</td>\n",
       "      <td>2048</td>\n",
       "      <td>13</td>\n",
       "      <td>17</td>\n",
       "      <td>2020-06-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>297.50</td>\n",
       "      <td>1785</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>2020-06-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>148.38</td>\n",
       "      <td>1187</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>2020-06-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>136.67</td>\n",
       "      <td>2050</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>2020-06-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>218.29</td>\n",
       "      <td>3711</td>\n",
       "      <td>17</td>\n",
       "      <td>13</td>\n",
       "      <td>2020-06-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>224.91</td>\n",
       "      <td>2474</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>2020-06-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>98.75</td>\n",
       "      <td>395</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>2020-06-19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>155.75</td>\n",
       "      <td>1869</td>\n",
       "      <td>12</td>\n",
       "      <td>10</td>\n",
       "      <td>2020-06-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>189.57</td>\n",
       "      <td>1327</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>2020-06-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>168.25</td>\n",
       "      <td>2019</td>\n",
       "      <td>12</td>\n",
       "      <td>8</td>\n",
       "      <td>2020-06-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>141.91</td>\n",
       "      <td>1561</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>2020-06-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>103.89</td>\n",
       "      <td>935</td>\n",
       "      <td>9</td>\n",
       "      <td>6</td>\n",
       "      <td>2020-06-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>115.33</td>\n",
       "      <td>346</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2020-06-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>184.17</td>\n",
       "      <td>1105</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>2020-06-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>111.67</td>\n",
       "      <td>1005</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-06-27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>89.00</td>\n",
       "      <td>89</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2020-06-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>455.00</td>\n",
       "      <td>910</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-06-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>87.50</td>\n",
       "      <td>175</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-06-30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       MSV   GSV  TV  Days Ago       Date\n",
       "1   152.64  2137  14        29 2020-06-01\n",
       "2   211.94  3391  16        28 2020-06-02\n",
       "3   232.50  2325  10        27 2020-06-03\n",
       "4   158.42  1901  12        26 2020-06-04\n",
       "5   109.17   655   6        25 2020-06-05\n",
       "6   192.88  1543   8        24 2020-06-06\n",
       "7   165.80  2487  15        23 2020-06-07\n",
       "8   172.85  3457  20        22 2020-06-08\n",
       "9   153.14  1072   7        21 2020-06-09\n",
       "10  170.80  1708  10        20 2020-06-10\n",
       "11  215.00  1935   9        19 2020-06-11\n",
       "12  162.73  1790  11        18 2020-06-12\n",
       "13  157.54  2048  13        17 2020-06-13\n",
       "14  297.50  1785   6        16 2020-06-14\n",
       "15  148.38  1187   8        15 2020-06-15\n",
       "16  136.67  2050  15        14 2020-06-16\n",
       "17  218.29  3711  17        13 2020-06-17\n",
       "18  224.91  2474  11        12 2020-06-18\n",
       "19   98.75   395   4        11 2020-06-19\n",
       "20  155.75  1869  12        10 2020-06-20\n",
       "21  189.57  1327   7         9 2020-06-21\n",
       "22  168.25  2019  12         8 2020-06-22\n",
       "23  141.91  1561  11         7 2020-06-23\n",
       "24  103.89   935   9         6 2020-06-24\n",
       "25  115.33   346   3         5 2020-06-25\n",
       "26  184.17  1105   6         4 2020-06-26\n",
       "27  111.67  1005   9         3 2020-06-27\n",
       "28   89.00    89   1         2 2020-06-28\n",
       "29  455.00   910   2         1 2020-06-29\n",
       "30   87.50   175   2         0 2020-06-30"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "string_date = \"2020-06-30\"\n",
    "origin = datetime.datetime.strptime(string_date, \"%Y-%m-%d\")\n",
    "\n",
    "counter = 0\n",
    "for row in sorted.iterrows():\n",
    "    days_ago = int(sorted.loc[counter, \"Days Ago\"])\n",
    "    delta = datetime.timedelta(days = days_ago)\n",
    "    sorted.loc[counter, \"Date\"] = origin - delta\n",
    "    counter +=1\n",
    "    \n",
    "sorted.reset_index(inplace=True, drop=True)\n",
    "sorted.drop(sorted.head(1).index,inplace=True)\n",
    "\n",
    "sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "sorted.to_csv(\"sorted_givenchy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x103db8220>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1872x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1872x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1872x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.style.use(\"fivethirtyeight\")\n",
    "\n",
    "\n",
    "one = \"2020-06-05\"\n",
    "ones = datetime.datetime.strptime(one, \"%Y-%m-%d\")\n",
    "\n",
    "two = \"2020-06-10\"\n",
    "twos = datetime.datetime.strptime(two, \"%Y-%m-%d\")\n",
    "\n",
    "three = \"2020-06-15\"\n",
    "threes = datetime.datetime.strptime(three, \"%Y-%m-%d\")\n",
    "\n",
    "four = \"2020-06-20\"\n",
    "fours = datetime.datetime.strptime(four, \"%Y-%m-%d\")\n",
    "\n",
    "five = \"2020-06-25\"\n",
    "fives = datetime.datetime.strptime(five, \"%Y-%m-%d\")\n",
    "\n",
    "\n",
    "MSV_plot = sorted.plot(x = \"Date\", \n",
    "                       y = \"MSV\", \n",
    "                       legend=None, \n",
    "                       figsize = (26, 10), \n",
    "                       color = \"black\",\n",
    "                       linewidth = 2.5)\n",
    "MSV_plot.set_ylabel(\"Mean Sales Value ($)\")\n",
    "MSV_plot.set_xlabel(\"Date\")\n",
    "\n",
    "MSV_plot.tick_params(axis = \"x\", which = \"minor\", bottom = False, top = False, labelbottom = False)\n",
    "MSV_plot.set_xticks(ticks = [ones, twos, threes, fours, fives])\n",
    "MSV_plot.set_xticklabels(labels = [\"6.5\", \"6.10\", \"6.15\", \"6.20\", \"6.25\"])\n",
    "MSV_plot.axvline(x=three, linestyle = \"dashed\", color = \"black\", linewidth = 2)\n",
    "\n",
    "GSV_plot = sorted.plot(x = \"Date\", \n",
    "                       y = \"GSV\", \n",
    "                       legend=None,\n",
    "                      figsize = (26, 10),\n",
    "                      color = \"black\", \n",
    "                      linewidth = 2.5)\n",
    "GSV_plot.set_ylabel(\"Gross Sales Value ($)\")\n",
    "GSV_plot.set_xlabel(\"Date\")\n",
    "\n",
    "GSV_plot.tick_params(axis = \"x\", which = \"minor\", bottom = False, top = False, labelbottom = False)\n",
    "GSV_plot.set_xticks(ticks = [ones, twos, threes, fours, fives])\n",
    "GSV_plot.axvline(x=three, linestyle = \"dashed\", color = \"black\", linewidth = 2)\n",
    "GSV_plot.set_xticklabels(labels = [\"6.5\", \"6.10\", \"6.15\", \"6.20\", \"6.25\"])\n",
    "\n",
    "TV_plot = sorted.plot(x = \"Date\", \n",
    "                      y = \"TV\", \n",
    "                      legend=None,\n",
    "                     figsize = (26, 10),\n",
    "                     color = \"black\",\n",
    "                     linewidth = 2.5)\n",
    "TV_plot.set_ylabel(\"Total Sales Volume (Items Sold))\")\n",
    "TV_plot.set_xlabel(\"Date\")\n",
    "\n",
    "TV_plot.tick_params(axis = \"x\", which = \"minor\", bottom = False, top = False, labelbottom = False)\n",
    "TV_plot.set_xticks(ticks = [ones, twos, threes, fours, fives])\n",
    "TV_plot.set_xticklabels(labels = [\"6.5\", \"6.10\", \"6.15\", \"6.20\", \"6.25\"])\n",
    "TV_plot.axvline(x=three, linestyle = \"dashed\", color = \"black\", linewidth = 2)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}