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arjunpatel
commited on
Commit
·
055ef85
1
Parent(s):
1b1e129
First commit
Browse filesA script that can grab a movelist from Serebii.net. Only 3 webpages are needed, to minimize requests. Woohoo!
- move_scraper.ipynb +415 -0
move_scraper.ipynb
ADDED
@@ -0,0 +1,415 @@
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1 |
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Pokemon Attack Scraping Script"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import requests\n",
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"from bs4 import BeautifulSoup\n",
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"\n",
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"\n",
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"\n",
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"\n",
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"physical_moves = \"https://www.serebii.net/attackdex-swsh/physical.shtml\" \n",
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"special_moves = \"https://www.serebii.net/attackdex-swsh/special.shtml\"\n",
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"status_moves = \"https://www.serebii.net/attackdex-swsh/other.shtml\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"\n",
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"data = requests.get(physical_moves)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {},
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"outputs": [],
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"source": [
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"my_data = []\n",
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" #https://www.kite.com/python/examples/4420/beautifulsoup-parse-an-html-table-and-write-to-a-csv\n",
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"html = BeautifulSoup(data.text, 'html.parser')\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 83,
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"soup = html\n",
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"table = soup.find_all(\"table\")[1]\n",
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"\n",
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"output_rows = []\n",
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"for table_row in table.findAll('tr'):\n",
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" columns = table_row.findAll('td')\n",
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" output_row = []\n",
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" for column in columns:\n",
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" output_row.append(column.text.strip())\n",
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" output_rows.append(output_row)\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 84,
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"metadata": {},
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"outputs": [],
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"source": [
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"moves = pd.DataFrame(output_rows)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 85,
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"metadata": {},
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"outputs": [],
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"source": [
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"moves.columns = moves.iloc[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 86,
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"metadata": {},
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"outputs": [],
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"source": [
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"moves = moves[1:]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 87,
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"metadata": {},
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"outputs": [],
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"source": [
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"moves = moves[moves.Effect.apply(lambda x: \"This move can't be used\" not in x)]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 88,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Name</th>\n",
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" <th>Type</th>\n",
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" <th>Cat.</th>\n",
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" <th>PP</th>\n",
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" <th>Att.</th>\n",
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" <th>Acc.</th>\n",
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" <th>Effect</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Accelerock</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>20</td>\n",
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" <td>40</td>\n",
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" <td>100</td>\n",
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" <td>The user smashes into the target at high speed...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>Acrobatics</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>15</td>\n",
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" <td>55</td>\n",
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" <td>100</td>\n",
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" <td>The user nimbly strikes the target. If the use...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>Aerial Ace</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>20</td>\n",
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" <td>60</td>\n",
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" <td>101</td>\n",
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+
" <td>The user confounds the target with speed, then...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>Anchor Shot</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>20</td>\n",
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" <td>80</td>\n",
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" <td>100</td>\n",
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" <td>The user entangles the target with its anchor ...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>Aqua Jet</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>20</td>\n",
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" <td>40</td>\n",
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" <td>100</td>\n",
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+
" <td>The user lunges at the target at a speed that ...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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+
" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>381</th>\n",
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" <td>Wood Hammer</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>15</td>\n",
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" <td>120</td>\n",
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" <td>100</td>\n",
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" <td>The user slams its rugged body into the target...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>382</th>\n",
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" <td>Wrap</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>20</td>\n",
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" <td>15</td>\n",
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" <td>90</td>\n",
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" <td>A long body, vines, or the like are used to wr...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>383</th>\n",
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" <td>X-Scissor</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>15</td>\n",
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" <td>80</td>\n",
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" <td>100</td>\n",
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" <td>The user slashes at the target by crossing its...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>384</th>\n",
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" <td>Zen Headbutt</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>15</td>\n",
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" <td>80</td>\n",
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" <td>90</td>\n",
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+
" <td>The user focuses its willpower to its head and...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>385</th>\n",
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" <td>Zing Zap</td>\n",
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" <td></td>\n",
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" <td></td>\n",
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" <td>10</td>\n",
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" <td>80</td>\n",
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" <td>100</td>\n",
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" <td>A strong electric blast crashes down on the ta...</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>322 rows × 7 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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"0 Name Type Cat. PP Att. Acc. \\\n",
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"1 Accelerock 20 40 100 \n",
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"3 Acrobatics 15 55 100 \n",
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"4 Aerial Ace 20 60 101 \n",
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"6 Anchor Shot 20 80 100 \n",
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"7 Aqua Jet 20 40 100 \n",
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".. ... ... ... .. ... ... \n",
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"381 Wood Hammer 15 120 100 \n",
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"382 Wrap 20 15 90 \n",
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"383 X-Scissor 15 80 100 \n",
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"384 Zen Headbutt 15 80 90 \n",
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+
"385 Zing Zap 10 80 100 \n",
|
277 |
+
"\n",
|
278 |
+
"0 Effect \n",
|
279 |
+
"1 The user smashes into the target at high speed... \n",
|
280 |
+
"3 The user nimbly strikes the target. If the use... \n",
|
281 |
+
"4 The user confounds the target with speed, then... \n",
|
282 |
+
"6 The user entangles the target with its anchor ... \n",
|
283 |
+
"7 The user lunges at the target at a speed that ... \n",
|
284 |
+
".. ... \n",
|
285 |
+
"381 The user slams its rugged body into the target... \n",
|
286 |
+
"382 A long body, vines, or the like are used to wr... \n",
|
287 |
+
"383 The user slashes at the target by crossing its... \n",
|
288 |
+
"384 The user focuses its willpower to its head and... \n",
|
289 |
+
"385 A strong electric blast crashes down on the ta... \n",
|
290 |
+
"\n",
|
291 |
+
"[322 rows x 7 columns]"
|
292 |
+
]
|
293 |
+
},
|
294 |
+
"execution_count": 88,
|
295 |
+
"metadata": {},
|
296 |
+
"output_type": "execute_result"
|
297 |
+
}
|
298 |
+
],
|
299 |
+
"source": [
|
300 |
+
"moves"
|
301 |
+
]
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"cell_type": "code",
|
305 |
+
"execution_count": 90,
|
306 |
+
"metadata": {},
|
307 |
+
"outputs": [
|
308 |
+
{
|
309 |
+
"name": "stdout",
|
310 |
+
"output_type": "stream",
|
311 |
+
"text": [
|
312 |
+
"Removing some old moves... Found 386\n",
|
313 |
+
"Removing some old moves... Found 237\n",
|
314 |
+
"Removing some old moves... Found 260\n"
|
315 |
+
]
|
316 |
+
}
|
317 |
+
],
|
318 |
+
"source": [
|
319 |
+
"def create_moves_df(url):\n",
|
320 |
+
" # given a url, scrapes the moves table and turns it into a pandas df\n",
|
321 |
+
" # works on Serebii's moves attackdex\n",
|
322 |
+
" # removes moves that no longer are usable in that generation\n",
|
323 |
+
" data = requests.get(url)\n",
|
324 |
+
" soup = BeautifulSoup(data.text, 'html.parser')\n",
|
325 |
+
" \n",
|
326 |
+
" # first table is the table of contents for the moves, we don't want that\n",
|
327 |
+
" \n",
|
328 |
+
" # following code grabbed from #https://www.kite.com/python/examples/4420/beautifulsoup-parse-an-html-table-and-write-to-a-csv\n",
|
329 |
+
" table = soup.find_all(\"table\")[1]\n",
|
330 |
+
"\n",
|
331 |
+
" output_rows = []\n",
|
332 |
+
" for table_row in table.findAll('tr'):\n",
|
333 |
+
" columns = table_row.findAll('td')\n",
|
334 |
+
" output_row = []\n",
|
335 |
+
" for column in columns:\n",
|
336 |
+
" output_row.append(column.text.strip())\n",
|
337 |
+
" output_rows.append(output_row)\n",
|
338 |
+
" \n",
|
339 |
+
" moves = pd.DataFrame(output_rows)\n",
|
340 |
+
" \n",
|
341 |
+
" # move first row to column, and drop row\n",
|
342 |
+
" moves.columns = moves.iloc[0]\n",
|
343 |
+
" moves = moves[1:].reset_index(drop = True)\n",
|
344 |
+
" \n",
|
345 |
+
" # drop moves that don't exist in this gen, but also count them\n",
|
346 |
+
" unusable_moves = len(moves.Effect.apply(lambda x: \"This move can't be used\" in x))\n",
|
347 |
+
" print(\"Removing some old moves... Found \", unusable_moves)\n",
|
348 |
+
" moves = moves[moves.Effect.apply(lambda x: \"This move can't be used\" not in x)]\n",
|
349 |
+
" return moves\n",
|
350 |
+
"\n",
|
351 |
+
"\n",
|
352 |
+
"\n",
|
353 |
+
"\n",
|
354 |
+
"physical_moves = \"https://www.serebii.net/attackdex-swsh/physical.shtml\" \n",
|
355 |
+
"special_moves = \"https://www.serebii.net/attackdex-swsh/special.shtml\"\n",
|
356 |
+
"status_moves = \"https://www.serebii.net/attackdex-swsh/other.shtml\"\n",
|
357 |
+
"\n",
|
358 |
+
"\n",
|
359 |
+
"physical_df = create_moves_df(physical_moves)\n",
|
360 |
+
"special_df = create_moves_df(special_moves)\n",
|
361 |
+
"status_df = create_moves_df(status_moves)\n",
|
362 |
+
"\n",
|
363 |
+
"moves = pd.concat([physical_df, special_df, status_df])\n"
|
364 |
+
]
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"cell_type": "code",
|
368 |
+
"execution_count": 93,
|
369 |
+
"metadata": {},
|
370 |
+
"outputs": [
|
371 |
+
{
|
372 |
+
"data": {
|
373 |
+
"text/plain": [
|
374 |
+
"743"
|
375 |
+
]
|
376 |
+
},
|
377 |
+
"execution_count": 93,
|
378 |
+
"metadata": {},
|
379 |
+
"output_type": "execute_result"
|
380 |
+
}
|
381 |
+
],
|
382 |
+
"source": [
|
383 |
+
"len(moves)"
|
384 |
+
]
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"cell_type": "code",
|
388 |
+
"execution_count": null,
|
389 |
+
"metadata": {},
|
390 |
+
"outputs": [],
|
391 |
+
"source": []
|
392 |
+
}
|
393 |
+
],
|
394 |
+
"metadata": {
|
395 |
+
"kernelspec": {
|
396 |
+
"display_name": "Python 3",
|
397 |
+
"language": "python",
|
398 |
+
"name": "python3"
|
399 |
+
},
|
400 |
+
"language_info": {
|
401 |
+
"codemirror_mode": {
|
402 |
+
"name": "ipython",
|
403 |
+
"version": 3
|
404 |
+
},
|
405 |
+
"file_extension": ".py",
|
406 |
+
"mimetype": "text/x-python",
|
407 |
+
"name": "python",
|
408 |
+
"nbconvert_exporter": "python",
|
409 |
+
"pygments_lexer": "ipython3",
|
410 |
+
"version": "3.8.3"
|
411 |
+
}
|
412 |
+
},
|
413 |
+
"nbformat": 4,
|
414 |
+
"nbformat_minor": 4
|
415 |
+
}
|