audhiaprilliant

audhiaprilliant

# Monopoly simulation
def monopoly_simulation(
    num_player: int,
    iteration: int,
    card: bool
    ):
    # String of players
    player_str = ['Player ' + str(i) for i in range(1, num_player + 1)]
    
    # A dictionary for players

audhiaprilliant

# Player(s) movement
def move_spaces(
    dict_latest: dict,
    dices: int,
    subiteration: int,
    three_times: bool,
    card: bool,
    data_card: dict,
    data_space: dict
    ):

audhiaprilliant

# Rounds on Monopoly board
def round_spaces(
    dict_spaces: dict
    ):
    # Latest round
    latest_round = dict_spaces['round']
    
    # Update status
    updated_status = False
    # After-before spaces

audhiaprilliant

# Select a card and show the result
def take_cards(
    subiteration_dict: dict,
    card: bool,
    chance_card: bool,
    data_card: dict,
    data_space: dict
    ):
    # Card status
    card_status = card

audhiaprilliant

# Find the shortest spaces for spaces in circular list
def shortest_space(
    source: int,
    targets: list,
    data_space: dict
    ):
    # Create a dictionary
    d_targets = {key: None for key in targets}
    
    # Loop the targets

audhiaprilliant

# Find the shortest spaces in circular list
def distance_space(
    data_space: dict,
    first_index: int,
    second_index: int
    ):
    # Update the data space
    data_space_update = (data_space[first_index - 1:] + data_space[:first_index - 1])
    
    # Calculate the distance

audhiaprilliant

# Update spaces
def update_space(
    last_move: int,
    dices: list,
    data_space: dict
    ):
    # Updated board based latest move
    l_board = (data_space[last_move - 1:] + data_space[:last_move - 1])
    # Current space
    d_current_space = [l_board[np.sum(dices) % len(l_board)]]

audhiaprilliant

# ---------- SUBPLOT WITH GRIDSPEC ----------

# Figure size
fig = plt.figure(figsize = (10, 8))

# Create a grid for plots (2 rows & 3 columns)
gs = gridspec.GridSpec(nrows = 2, ncols = 3, figure = fig)

ax1 = fig.add_subplot(gs[0, :]);
ax1.set_title('# Customer by payment method');

audhiaprilliant

# ---------- SUBPLOT (2 ROWS, 2 COLUMNS) ----------

# Create a grid for plots (2 rows & 2 columns)
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(nrows = 2, ncols = 2, figsize = (10, 6))

# Bar plot - 1
ax1.bar(
    x = 'gender',
    height = 'customerID',
    data = df_group_2,