def plot_points_per_prediction_normalized(input, title):
resolution, amplitude = map_data(input)
save_bar_plot(resolution,
amplitude,
"points_per_prediction",
title,
x_name="prediction",
y_name="amount of points/amount of predictions")
def plot_points_per_prediction_agglomerated_normalized(input):
resolution, amplitude = map_data(input)
save_bar_plot(resolution,
amplitude,
"points_per_prediction",
"normalized_all",
x_name="prediction",
y_name="amount of points/amount of predictions")
def plot_amount_of_predictions_agglomerated(input):
resolution, amplitude = map_data(input)
y_ticks = get_y_ticks(amplitude, max_offset=10, y_zero=True, step_size=20)
save_bar_plot(resolution, amplitude, "points_per_prediction", "amount_all",
y_ticks, "prediction", "amount of predictions")
def plot_amount_of_predictions(input, title):
resolution, amplitude = map_data(input)
y_ticks = get_y_ticks(amplitude, max_offset=4, y_zero=True, step_size=5)
save_bar_plot(resolution, amplitude, "points_per_prediction", title,
y_ticks, "prediction", "amount of predictions")
def plot_points_per_team_merged(input):
resolution, amplitude = map_data(input)
save_pie_plot(resolution, amplitude, "points_per_team", "all")
def plot_missed_games(input):
resolution, amplitude = map_data(input)
y_ticks = get_y_ticks(amplitude, max_offset=1, y_zero=0)
save_bar_plot(resolution, amplitude, "other", "missed_games", y_ticks,
"player", "amount of games")
def plot_close_calls(input):
resolution, amplitude = map_data(input)
y_ticks = get_y_ticks(amplitude, max_offset=1, y_zero=0)
save_bar_plot(resolution, amplitude, "other", "close_calls", y_ticks,
"player", "amount of games",
min(amplitude) - 5, max(amplitude))
def plot_all_scores_per_team(input):
resolution, amplitude = map_data(input)
y_ticks = get_y_ticks(amplitude, max_offset=1)
save_bar_plot(resolution, amplitude, "scores_per_team", "all_teams",
y_ticks)
Dicts.AMOUNT_OF_PREDICTIONS_AGGLOMERATED][prediction]
plot_points_per_prediction_agglomerated(
dict_of_dicts[Dicts.POINTS_PER_PREDICTED_RESULT_AGGLOMERATED])
plot_amount_of_predictions_agglomerated(
dict_of_dicts[Dicts.AMOUNT_OF_PREDICTIONS_AGGLOMERATED])
plot_points_per_prediction_agglomerated_normalized(
points_per_prediction_agglomerated_normalized)
plot_all_scores_per_team(dict_of_dicts[Dicts.ALL_RESULTS_AGGLOMERATED])
plot_close_calls(dict_of_dicts[Dicts.CLOSE_CALLS])
plot_missed_games(dict_of_dicts[Dicts.MISSED_GAMES])
points_per_team_merged_dict = {}
index = 0
for player_index in dict_of_dicts[Dicts.POINTS_PER_TEAM]:
players_dict = dict_of_dicts[Dicts.POINTS_PER_TEAM][player_index]
resolution, amplitude = map_data(players_dict)
save_pie_plot(resolution, amplitude, "points_per_team", players[index])
for team in players_dict:
if team in points_per_team_merged_dict:
points_per_team_merged_dict[
team] = points_per_team_merged_dict[team] + players_dict[team]
else:
points_per_team_merged_dict[team] = players_dict[team]
index = index + 1
plot_points_per_team_merged(points_per_team_merged_dict)
plot_line_chart(placements, "other", "placements", (16, 10))