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Update app.py
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app.py
CHANGED
@@ -105,30 +105,30 @@ for x in data_r['fantasy_content']['league']['players']:
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yahoo_df = pd.DataFrame(total_list,columns = ['player_id','rank_value','full','first','last','average_pick','average_auction_cost','display_position','editorial_team_abbr','percent_owned'])
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yahoo_df_2 = yahoo_df.copy()
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# Write your code here.
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response = requests.get("https://www.naturalstattrick.com/playerlist.php?fromseason=20232024&thruseason=20232024&stype=2&sit=all&stdoi=oi&rate=n")
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soup = BeautifulSoup(response.text, 'html.parser')
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table_rows = soup.findAll('tr')
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table_rows = table_rows[1:-1]
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table_rows[0].findAll('td')
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player_name = []
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player_position = []
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player_team = []
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player_id = []
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for i in range(0,len(table_rows)-1):
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player_id_df = pd.DataFrame({'Player':player_name,'Player ID':player_id,'Position':player_position,'Team':player_team})
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#player_id_df.index.name = 'Player Name'
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player_id_df.head()
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skater_df = player_id_df[player_id_df['Position'] != 'G']
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goalie_df = player_id_df[player_id_df['Position'] == 'G']
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season = 20232024
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seasontype = 2
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@@ -420,4 +420,5 @@ def server(input, output, session):
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app = App(app_ui, server)
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yahoo_df = pd.DataFrame(total_list,columns = ['player_id','rank_value','full','first','last','average_pick','average_auction_cost','display_position','editorial_team_abbr','percent_owned'])
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yahoo_df_2 = yahoo_df.copy()
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# # Write your code here.
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# response = requests.get("https://www.naturalstattrick.com/playerlist.php?fromseason=20232024&thruseason=20232024&stype=2&sit=all&stdoi=oi&rate=n")
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# soup = BeautifulSoup(response.text, 'html.parser')
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# table_rows = soup.findAll('tr')
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# table_rows = table_rows[1:-1]
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# table_rows[0].findAll('td')
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# player_name = []
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# player_position = []
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# player_team = []
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# player_id = []
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# for i in range(0,len(table_rows)-1):
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# player_name.append(str(table_rows[i].findAll('td')[0].contents[0]))
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# player_position.append(table_rows[i].findAll('td')[1].contents[0])
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# player_team.append(table_rows[i].findAll('td')[2].contents[0])
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# player_id.append(str(table_rows[i].findAll('td')[3].contents[0])[-76:][:7])
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# player_id_df = pd.DataFrame({'Player':player_name,'Player ID':player_id,'Position':player_position,'Team':player_team})
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# #player_id_df.index.name = 'Player Name'
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# player_id_df.head()
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# skater_df = player_id_df[player_id_df['Position'] != 'G']
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# goalie_df = player_id_df[player_id_df['Position'] == 'G']
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season = 20232024
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seasontype = 2
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app = App(app_ui, server)
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time.sleep(60)
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