Esempio n. 1
0
if __name__ == "__main__":
    limits = {
        'NA': (3000, 'orange', 'North America'),
        'EU': (10000, 'blue', 'Europe'),
        'RU': (30000, 'red', 'Russia'),
        'ASIA': (1000, 'green', 'Asia'),
        'KR': (500, 'purple', 'Korea'),
    }
    rc('font', **{'family':'serif'})
    for server in ['EU', 'NA', 'RU', 'ASIA', 'KR']:
        print server
        # scrob = Scrobbler(min_points=5000, max_pages=90, max_rank=90000, max_players=90000)
        scrob = Scrobbler(min_points=5000, max_pages=90, max_rank=90000, max_players=90000)
        scrob.page_size = 1000
        scrob.build_headers(server)
        try:
            data = scrob.scrobble()

            x = []
            y = []

            for player in scrob.ranking:
                x.append(scrob.players[player[0]]['real_position'])
                y.append(player[1])

                if scrob.players[player[0]]['real_position'] == limits[server][0]:
                    cutoffx = [limits[server][0], limits[server][0]]
                    cutoffy = [0, player[1]]

                    plot(cutoffx, cutoffy, color=limits[server][1], label="_"+str(player[1]))
Esempio n. 2
0
__author__ = 'nic'
from scrobbler import Scrobbler
import texttable


if __name__ == "__main__":
    scrob = Scrobbler(max_rank=12000)
    scrob.build_headers('NA')
    data = scrob.scrobble()
    print 'indexed players: ', str(scrob.current_count) + "/" + str(scrob.total_count) + " (" + str(
        round((float(scrob.current_count) / float(scrob.total_count)) * 100)) + "\%)", 'pages scrobbled: ', scrob.current_page
    print ''
    print '-----------------------------------------'
    print 'Clan Search: QuickyBaby\'s Special forces'
    print '-----------------------------------------'

    players = texttable.Texttable(max_width=0)
    players.set_deco(texttable.Texttable.HEADER)
    players.set_cols_dtype(['i', 'i', 't', 't', 'i', 'i', 'i'])
    players.add_row(['Current Rank', 'Real Rank', 'Name', 'Clan', 'Points', 'Delta', 'Real Delta'])

    for x in scrob.find_clan(['otter']):
        players.add_row(
            [x['position'], x['real_position'], x['name'], scrob.clans[x['clan']]['tag'].upper(), x['points'],
             x['delta'], x['real_delta']])

    print players.draw()

    print ''
    print '------------------------------------------'
    print 'top clans by number of players in top 10 k'