def kill_difference(data):
"""
Calcualte the average kills between winner teams and loser teams
:param data: main data frame we are using
:return: the average kills difference between winner teams and loser teams
"""
winner = tools.winner_loser(data)[0]
loser = tools.winner_loser(data)[1]
win = winner.groupby("match_id")["kills"].mean()
lose = loser.groupby("match_id")["kills"].mean()
difference = (win - lose).mean()
return round(difference)
def damage_graph(data, match):
"""
Take data and match csv files
Make damage difference plot for winning and losing team
"""
x = np.array(match.loc[:9999, "match_id"])
winner = tools.winner_loser(data)[0]
loser = tools.winner_loser(data)[1]
win = winner.groupby("match_id")["hero_damage"].mean()
lose = loser.groupby("match_id")["hero_damage"].mean()
y = (win - lose).to_list()
y = np.array(y[:10000])
data_new = pd.DataFrame(data={"x": x, "y": y})
sns.relplot(x="x", y="y", data=data_new)
plt.title("Damage difference in 10000 games")
plt.xlabel("Matches ID")
plt.ylabel("Damage difference")
plt.savefig("user_files/image_files/plot3.png", bbox_inches="tight")