Function parse

examples/find_all_aces/find_epic_kill_parallel.py:8–39

(file)

def parse(file):

    number_of_kills = 5

    parser = DemoParser(file)
    df = pd.DataFrame(parser.parse_events("player_death", rounds=True))
    # end of "parser" after this its just pandas operations.

    # Remove warmup rounds.
    df = df[df["round"] != 0]

    # Here we can include any other filters like weapons etc.
    # df = df[df["weapon"] == "ak47"]

    all_rounds = []
    players = df["attacker_steamid"].unique()

    for player in players:
        # slice players
        player_df = df[df["attacker_steamid"] == player]
        # Create df like this: ["round", "attacker_name", "total_kills"]
        kills_per_round = player_df.groupby(["round", "attacker_name", "attacker_steamid"]).size(
        ).to_frame(name='total_kills').reset_index()
        # Get rounds with kills > n
        kills_per_round = kills_per_round[kills_per_round["total_kills"]
                                          >= number_of_kills]
        # Add file name to df
        kills_per_round["file"] = file
        # Put all of those rounds in an output list
        all_rounds.append(kills_per_round)
    if len(df) > 0:
        return pd.concat(all_rounds)


if __name__ == "__main__":