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Poker profit prediction
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import csv | |
| import re | |
| def graph_profit(profit): | |
| x = np.arange(len(profit)) | |
| y = np.cumsum(profit) | |
| p1 = np.poly1d(np.polyfit(x, y, 3)) | |
| p2 = np.poly1d(np.polyfit(x, y, 4)) | |
| p3 = np.poly1d(np.polyfit(x, y, 5)) | |
| xp = np.linspace(0, 200, 100) | |
| graph = plt.plot(x, y, '.', xp, p1(xp), '-', xp, p2(xp), '--', xp, p3(xp), '*') | |
| plt.ylim(-20,20) | |
| plt.show() | |
| rows = [] | |
| with open('Poker.csv') as f: | |
| reader = csv.reader(f) | |
| rows = list(reader) | |
| del rows[0] | |
| print(rows) | |
| def column(matrix, i): | |
| return [row[i] for row in matrix] | |
| def graph_type(game_type): | |
| games = list(filter(lambda row: re.match(game_type, row[1]) is not None, rows)) | |
| buyin = np.array(column(games, 2)).astype(float) | |
| result = np.array(column(games, 3)).astype(float) | |
| graph_profit(result - buyin) | |
| graph_type('.') | |
| graph_type('Spin-N-Go') | |
| graph_type('Cash Game') | |
| graph_type('Heads Up') |
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