Panda challenge 1
annahiraeta
HeroesOfPymoli_starter.ipynb{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Note\n", "* Instructions have been included for each segment. You do not have to follow them exactly, but they are included to help you think through the steps." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Dependencies and Setup\n", "import pandas as pd\n", "\n", "# File to Load (Remember to Change These)\n", "file_to_load = \"Resources/purchase_data.csv\"\n", "\n", "# Read Purchasing File and store into Pandas data frame\n", "purchase_data = pd.read_csv(file_to_load)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Player Count" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Display the total number of players\n" ] }, { "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>Total Players</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>576</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Total Players\n", "0 576" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Purchasing Analysis (Total)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Run basic calculations to obtain number of unique items, average price, etc.\n", "\n", "\n", "* Create a summary data frame to hold the results\n", "\n", "\n", "* Optional: give the displayed data cleaner formatting\n", "\n", "\n", "* Display the summary data frame\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "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>Number of Unique Items</th>\n", " <th>Average Price</th>\n", " <th>Number of Purchases</th>\n", " <th>Total Revenue</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>0</th>\n", " <td>179</td>\n", " <td>$3.05</td>\n", " <td>780</td>\n", " <td>$2,379.77</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Number of Unique Items Average Price Number of Purchases Total Revenue\n", "0 179 $3.05 780 $2,379.77" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Gender Demographics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Percentage and Count of Male Players\n", "\n", "\n", "* Percentage and Count of Female Players\n", "\n", "\n", "* Percentage and Count of Other / Non-Disclosed\n", "\n", "\n" ] }, { "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>Total Count</th>\n", " <th>Percentage of Players</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>Male</th>\n", " <td>484</td>\n", " <td>84.03%</td>\n", " </tr>\n", " <tr>\n", " <th>Female</th>\n", " <td>81</td>\n", " <td>14.06%</td>\n", " </tr>\n", " <tr>\n", " <th>Other / Non-Disclosed</th>\n", " <td>11</td>\n", " <td>1.91%</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Total Count Percentage of Players\n", "Male 484 84.03%\n", "Female 81 14.06%\n", "Other / Non-Disclosed 11 1.91%" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "## Purchasing Analysis (Gender)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Run basic calculations to obtain purchase count, avg. purchase price, avg. purchase total per person etc. by gender\n", "\n", "\n", "\n", "\n", "* Create a summary data frame to hold the results\n", "\n", "\n", "* Optional: give the displayed data cleaner formatting\n", "\n", "\n", "* Display the summary data frame" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Purchase Count</th>\n", " <th>Average Purchase Price</th>\n", " <th>Total Purchase Value</th>\n", " <th>Avg Total Purchase per Person</th>\n", " </tr>\n", " <tr>\n", " <th>Gender</th>\n", " <th></th>\n", " <th></th>\n", " <th></th>\n", " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>Female</th>\n", " <td>113</td>\n", " <td>$3.20</td>\n", " <td>$361.94</td>\n", " <td>$4.47</td>\n", " </tr>\n", " <tr>\n", " <th>Male</th>\n", " <td>652</td>\n", " <td>$3.02</td>\n", " <td>$1,967.64</td>\n", " <td>$4.07</td>\n", " </tr>\n", " <tr>\n", " <th>Other / Non-Disclosed</th>\n", " <td>15</td>\n", " <td>$3.35</td>\n", " <td>$50.19</td>\n", " <td>$4.56</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Purchase Count Average Purchase Price \\\n", "Gender \n", "Female 113 $3.20 \n", "Male 652 $3.02 \n", "Other / Non-Disclosed 15 $3.35 \n", "\n", " Total Purchase Value Avg Total Purchase per Person \n", "Gender \n", "Female $361.94 $4.47 \n", "Male $1,967.64 $4.07 \n", "Other / Non-Disclosed $50.19 $4.56 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Age Demographics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Establish bins for ages\n", "\n", "\n", "* Categorize the existing players using the age bins. Hint: use pd.cut()\n", "\n", "\n", "* Calculate the numbers and percentages by age group\n", "\n", "\n", "* Create a summary data frame to hold the results\n", "\n", "\n", "* Optional: round the percentage column to two decimal points\n", "\n", "\n", "* Display Age Demographics Table\n" ] }, { "cell_type": "code", "execution_count": 6, "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>Total Count</th>\n", " <th>Percentage of Players</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th><10</th>\n", " <td>17</td>\n", " <td>2.95%</td>\n", " </tr>\n", " <tr>\n", " <th>10-14</th>\n", " <td>22</td>\n", " <td>3.82%</td>\n", " </tr>\n", " <tr>\n", " <th>15-19</th>\n", " <td>107</td>\n", " <td>18.58%</td>\n", " </tr>\n", " <tr>\n", " <th>20-24</th>\n", " <td>258</td>\n", " <td>44.79%</td>\n", " </tr>\n", " <tr>\n", " <th>25-29</th>\n", " <td>77</td>\n", " <td>13.37%</td>\n", " </tr>\n", " <tr>\n", " <th>30-34</th>\n", " <td>52</td>\n", " <td>9.03%</td>\n", " </tr>\n", " <tr>\n", " <th>35-39</th>\n", " <td>31</td>\n", " <td>5.38%</td>\n", " </tr>\n", " <tr>\n", " <th>40+</th>\n", " <td>12</td>\n", " <td>2.08%</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Total Count Percentage of Players\n", "<10 17 2.95%\n", "10-14 22 3.82%\n", "15-19 107 18.58%\n", "20-24 258 44.79%\n", "25-29 77 13.37%\n", "30-34 52 9.03%\n", "35-39 31 5.38%\n", "40+ 12 2.08%" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Purchasing Analysis (Age)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Bin the purchase_data data frame by age\n", "\n", "\n", "* Run basic calculations to obtain purchase count, avg. purchase price, avg. purchase total per person etc. in the table below\n", "\n", "\n", "* Create a summary data frame to hold the results\n", "\n", "\n", "* Optional: give the displayed data cleaner formatting\n", "\n", "\n", "* Display the summary data frame" ] }, { "cell_type": "code", "execution_count": 7, "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>Purchase Count</th>\n", " <th>Average Purchase Price</th>\n", " <th>Total Purchase Value</th>\n", " <th>Avg Total Purchase per Person</th>\n", " </tr>\n", " <tr>\n", " <th>Age Ranges</th>\n", " <th></th>\n", " <th></th>\n", " <th></th>\n", " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th><10</th>\n", " <td>23</td>\n", " <td>$3.35</td>\n", " <td>$77.13</td>\n", " <td>$4.54</td>\n", " </tr>\n", " <tr>\n", " <th>10-14</th>\n", " <td>28</td>\n", " <td>$2.96</td>\n", " <td>$82.78</td>\n", " <td>$3.76</td>\n", " </tr>\n", " <tr>\n", " <th>15-19</th>\n", " <td>136</td>\n", " <td>$3.04</td>\n", " <td>$412.89</td>\n", " <td>$3.86</td>\n", " </tr>\n", " <tr>\n", " <th>20-24</th>\n", " <td>365</td>\n", " <td>$3.05</td>\n", " <td>$1,114.06</td>\n", " <td>$4.32</td>\n", " </tr>\n", " <tr>\n", " <th>25-29</th>\n", " <td>101</td>\n", " <td>$2.90</td>\n", " <td>$293.00</td>\n", " <td>$3.81</td>\n", " </tr>\n", " <tr>\n", " <th>30-34</th>\n", " <td>73</td>\n", " <td>$2.93</td>\n", " <td>$214.00</td>\n", " <td>$4.12</td>\n", " </tr>\n", " <tr>\n", " <th>35-39</th>\n", " <td>41</td>\n", " <td>$3.60</td>\n", " <td>$147.67</td>\n", " <td>$4.76</td>\n", " </tr>\n", " <tr>\n", " <th>40+</th>\n", " <td>13</td>\n", " <td>$2.94</td>\n", " <td>$38.24</td>\n", " <td>$3.19</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Purchase Count Average Purchase Price Total Purchase Value \\\n", "Age Ranges \n", "<10 23 $3.35 $77.13 \n", "10-14 28 $2.96 $82.78 \n", "15-19 136 $3.04 $412.89 \n", "20-24 365 $3.05 $1,114.06 \n", "25-29 101 $2.90 $293.00 \n", "30-34 73 $2.93 $214.00 \n", "35-39 41 $3.60 $147.67 \n", "40+ 13 $2.94 $38.24 \n", "\n", " Avg Total Purchase per Person \n", "Age Ranges \n", "<10 $4.54 \n", "10-14 $3.76 \n", "15-19 $3.86 \n", "20-24 $4.32 \n", "25-29 $3.81 \n", "30-34 $4.12 \n", "35-39 $4.76 \n", "40+ $3.19 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Top Spenders" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Run basic calculations to obtain the results in the table below\n", "\n", "\n", "* Create a summary data frame to hold the results\n", "\n", "\n", "* Sort the total purchase value column in descending order\n", "\n", "\n", "* Optional: give the displayed data cleaner formatting\n", "\n", "\n", "* Display a preview of the summary data frame\n", "\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "<div>\n", "<style scoped>\n", " .dataframe tbody tr th:only-of-type {\n", " vertical-align: middle;\n", " }\n", "\n", " .dataframe tbody tr th {\n", " vertical-align: top;\n", " }\n", "\n", " .dataframe thead th {\n", " text-align: right;\n", " }\n", "</style>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>Purchase Count</th>\n", " <th>Average Purchase Price</th>\n", " <th>Total Purchase Value</th>\n", " </tr>\n", " <tr>\n", " <th>SN</th>\n", " <th></th>\n", " <th></th>\n", " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>Lisosia93</th>\n", " <td>5</td>\n", " <td>$3.79</td>\n", " <td>$18.96</td>\n", " </tr>\n", " <tr>\n", " <th>Idastidru52</th>\n", " <td>4</td>\n", " <td>$3.86</td>\n", " <td>$15.45</td>\n", " </tr>\n", " <tr>\n", " <th>Chamjask73</th>\n", " <td>3</td>\n", " <td>$4.61</td>\n", " <td>$13.83</td>\n", " </tr>\n", " <tr>\n", " <th>Iral74</th>\n", " <td>4</td>\n", " <td>$3.40</td>\n", " <td>$13.62</td>\n", " </tr>\n", " <tr>\n", " <th>Iskadarya95</th>\n", " <td>3</td>\n", " <td>$4.37</td>\n", " <td>$13.10</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Purchase Count Average Purchase Price Total Purchase Value\n", "SN \n", "Lisosia93 5 $3.79 $18.96\n", "Idastidru52 4 $3.86 $15.45\n", "Chamjask73 3 $4.61 $13.83\n", "Iral74 4 $3.40 $13.62\n", "Iskadarya95 3 $4.37 $13.10" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Most Popular Items" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Retrieve the Item ID, Item Name, and Item Price columns\n", "\n", "\n", "* Group by Item ID and Item Name. Perform calculations to obtain purchase count, item price, and total purchase value\n", "\n", "\n", "* Create a summary data frame to hold the results\n", "\n", "\n", "* Sort the purchase count column in descending order\n", "\n", "\n", "* Optional: give the displayed data cleaner formatting\n", "\n", "\n", "* Display a preview of the summary data frame\n", "\n" ] }, { "cell_type": "code", "execution_count": 9, "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></th>\n", " <th>Purchase Count</th>\n", " <th>Item Price</th>\n", " <th>Total Purchase Value</th>\n", " </tr>\n", " <tr>\n", " <th>Item ID</th>\n", " <th>Item Name</th>\n", " <th></th>\n", " <th></th>\n", " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>92</th>\n", " <th>Final Critic</th>\n", " <td>13</td>\n", " <td>$4.61</td>\n", " <td>$59.99</td>\n", " </tr>\n", " <tr>\n", " <th>178</th>\n", " <th>Oathbreaker, Last Hope of the Breaking Storm</th>\n", " <td>12</td>\n", " <td>$4.23</td>\n", " <td>$50.76</td>\n", " </tr>\n", " <tr>\n", " <th>145</th>\n", " <th>Fiery Glass Crusader</th>\n", " <td>9</td>\n", " <td>$4.58</td>\n", " <td>$41.22</td>\n", " </tr>\n", " <tr>\n", " <th>132</th>\n", " <th>Persuasion</th>\n", " <td>9</td>\n", " <td>$3.22</td>\n", " <td>$28.99</td>\n", " </tr>\n", " <tr>\n", " <th>108</th>\n", " <th>Extraction, Quickblade Of Trembling Hands</th>\n", " <td>9</td>\n", " <td>$3.53</td>\n", " <td>$31.77</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Purchase Count \\\n", "Item ID Item Name \n", "92 Final Critic 13 \n", "178 Oathbreaker, Last Hope of the Breaking Storm 12 \n", "145 Fiery Glass Crusader 9 \n", "132 Persuasion 9 \n", "108 Extraction, Quickblade Of Trembling Hands 9 \n", "\n", " Item Price \\\n", "Item ID Item Name \n", "92 Final Critic $4.61 \n", "178 Oathbreaker, Last Hope of the Breaking Storm $4.23 \n", "145 Fiery Glass Crusader $4.58 \n", "132 Persuasion $3.22 \n", "108 Extraction, Quickblade Of Trembling Hands $3.53 \n", "\n", " Total Purchase Value \n", "Item ID Item Name \n", "92 Final Critic $59.99 \n", "178 Oathbreaker, Last Hope of the Breaking Storm $50.76 \n", "145 Fiery Glass Crusader $41.22 \n", "132 Persuasion $28.99 \n", "108 Extraction, Quickblade Of Trembling Hands $31.77 " ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Most Profitable Items" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* Sort the above table by total purchase value in descending order\n", "\n", "\n", "* Optional: give the displayed data cleaner formatting\n", "\n", "\n", "* Display a preview of the data frame\n", "\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "scrolled": true }, "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></th>\n", " <th>Purchase Count</th>\n", " <th>Item Price</th>\n", " <th>Total Purchase Value</th>\n", " </tr>\n", " <tr>\n", " <th>Item ID</th>\n", " <th>Item Name</th>\n", " <th></th>\n", " <th></th>\n", " <th></th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>92</th>\n", " <th>Final Critic</th>\n", " <td>13</td>\n", " <td>$4.61</td>\n", " <td>$59.99</td>\n", " </tr>\n", " <tr>\n", " <th>178</th>\n", " <th>Oathbreaker, Last Hope of the Breaking Storm</th>\n", " <td>12</td>\n", " <td>$4.23</td>\n", " <td>$50.76</td>\n", " </tr>\n", " <tr>\n", " <th>82</th>\n", " <th>Nirvana</th>\n", " <td>9</td>\n", " <td>$4.90</td>\n", " <td>$44.10</td>\n", " </tr>\n", " <tr>\n", " <th>145</th>\n", " <th>Fiery Glass Crusader</th>\n", " <td>9</td>\n", " <td>$4.58</td>\n", " <td>$41.22</td>\n", " </tr>\n", " <tr>\n", " <th>103</th>\n", " <th>Singed Scalpel</th>\n", " <td>8</td>\n", " <td>$4.35</td>\n", " <td>$34.80</td>\n", " </tr>\n", " </tbody>\n", "</table>\n", "</div>" ], "text/plain": [ " Purchase Count \\\n", "Item ID Item Name \n", "92 Final Critic 13 \n", "178 Oathbreaker, Last Hope of the Breaking Storm 12 \n", "82 Nirvana 9 \n", "145 Fiery Glass Crusader 9 \n", "103 Singed Scalpel 8 \n", "\n", " Item Price \\\n", "Item ID Item Name \n", "92 Final Critic $4.61 \n", "178 Oathbreaker, Last Hope of the Breaking Storm $4.23 \n", "82 Nirvana $4.90 \n", "145 Fiery Glass Crusader $4.58 \n", "103 Singed Scalpel $4.35 \n", "\n", " Total Purchase Value \n", "Item ID Item Name \n", "92 Final Critic $59.99 \n", "178 Oathbreaker, Last Hope of the Breaking Storm $50.76 \n", "82 Nirvana $44.10 \n", "145 Fiery Glass Crusader $41.22 \n", "103 Singed Scalpel $34.80 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernel_info": { "name": "python3" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.6" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autoclose": false, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false }, "nteract": { "version": "0.2.0" } }, "nbformat": 4, "nbformat_minor": 2 }
