John Gatward
26 lines
797 B
Python
26 lines
797 B
Python
from constants import PLAYER_NAME_COLUMNS, ordinal
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def generate_player_table(df):
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header = [["Player", "Appearances", "Avg. Relative Percentile", "Spent"]]
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player_stats = []
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for name in PLAYER_NAME_COLUMNS:
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if name in df.columns:
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attended = df[df[name] == 1]
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n = len(attended)
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if n > 0:
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avg_rel = attended["Relative Position"].mean()
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player_stats.append((name, n, avg_rel))
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player_stats.sort(key=lambda x: x[1], reverse=True)
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total = sum(n for _, n, _ in player_stats)
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body = [
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[name, n, ordinal(round(avg_rel * 100)), f"£{n * 3:.2f}"]
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for name, n, avg_rel in player_stats
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]
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footer = [["Total", total, "—", f"£{total * 3:.2f}"]]
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return header + body + footer
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