Preparing Game Data Starcraft 2 (2027)

df.to_parquet('sc2_actions.parquet', compression='snappy') If you control the game (bot development):

| Source | Format | Use Case | |--------|--------|----------| | | Binary / MPQ archive | Full game state reconstruction, player actions, timings | | Live game state (via API) | JSON (via SC2API) | Real-time bot development, decision-making models | | Match history (Blizzard API) | JSON | Win rates, map stats, ladder ranking | preparing game data starcraft 2

for event in replay.events: if event.name == 'UnitBornEvent': print(f"Unit event.unit_type_name born at event.second") if event.name == 'PlayerStatsEvent': print(f"Minerals: event.minerals, Vespene: event.vespene") Store actions as a table: preparing game data starcraft 2

import numpy as np state_data = [] timeline = np.arange(0, replay.real_length.seconds, 5) preparing game data starcraft 2

from pysc2.env import sc2_env from pysc2.agents import random_agent env = sc2_env.SC2Env( map_name="AbyssalReef", players=[sc2_env.Agent(sc2_env.Race.random)], step_mul=8 )