def draw_centered_map(center_state='TX', n=10):
	"""Draw the n states closest to center_state."""
	center = us_centers[center_state.upper()]
	dist_from_center = lambda name: geo_distance(center, us_centers[name])
	for name in sorted(us_states.keys(), key=dist_from_center)[:int(n)]:
		draw_state(us_states[name])
		draw_name(name, us_centers[name])
	draw_dot(center, 1, 10)  # Mark the center state with a red dot
	wait()

def draw_centered_map(center_state='TX', n=10):
    """Draw the n states closest to center_state."""
    centers = {name: find_state_center(us_states[name]) for name in us_states}
    center = centers[center_state.upper()]
    distance = lambda name: geo_distance(center, centers[name])
    for name in sorted(centers, key=distance)[:int(n)]:
        draw_state(us_states[name])
        draw_name(name, centers[name])
    draw_dot(center, 1, 10)  # Mark the center state with a red dot
    wait()

def draw_centered_map(center_state='TX', n=10, canvas=None):
    """Draw the n states closest to center_state."""
    us_centers = {n: find_center(s) for n, s in us_states.items()}
    center = us_centers[center_state.upper()]
    dist_from_center = lambda name: geo_distance(center, us_centers[name])
    for name in sorted(us_states.keys(), key=dist_from_center)[:int(n)]:
        draw_state(us_states[name], canvas=canvas)
        draw_name(name, us_centers[name], canvas=canvas)
    draw_dot(center, 1, 10, canvas=canvas)  # Mark the center state with a red dot
    wait(canvas=canvas)

def draw_centered_map(center_state='TX', n=10):
    """Draw the n states closest to center_state."""
    us_centers = make_database()
    for state, s in get_items(us_states):
        us_centers = add_value(us_centers, state, find_state_center(s))
    center = get_value_from_key(us_centers, center_state.upper()) 
    dist_from_center = lambda name: geo_distance(center, get_value_from_key(us_centers, name))
    for name in sorted(get_keys(us_centers), key=dist_from_center)[:int(n)]:
        draw_state(get_value_from_key(us_states, name))
        draw_name(name, get_value_from_key(us_centers, name))
    draw_dot(center, 1, 10)  # Mark the center state with a red dot
    wait()

def draw_state_sentiments(state_sentiments):
    """Draw all U.S. states in colors corresponding to their sentiment value.

    Unknown state names are ignored; states without values are colored grey.

    Arguments:
    state_sentiments -- A dictionary from state strings to sentiment values
    """
    for name, shapes in us_states.items():
        draw_state(shapes, state_sentiments.get(name))
    for name, shapes in us_states.items():
        center = find_state_center(shapes)
        if center is not None:
            draw_name(name, center)

def draw_state_sentiments(state_sentiments=make_idict()):
    """Draw all U.S. states in colors corresponding to their sentiment value.
    
    Unknown state names are ignored; states without values are colored grey.
    
    state_sentiments -- An immutable dictionary from state strings to sentiment values
    """
    for name, shapes in idict_items(us_states):
        sentiment = idict_select(state_sentiments, name)
        draw_state(shapes, sentiment)
    for name, shapes in idict_items(us_states):
        center = find_center(shapes)
        if center is not None:
            draw_name(name, center)

def draw_centered_map(center_state='TX', n=10):
    """Draw the n states closest to center_state.
    
    For example, to draw the 20 states closest to California (including California):

    # python3 trends.py CA 20
    """
    us_centers = {n: find_center(s) for n, s in us_states.items()}
    center = us_centers[center_state.upper()]
    dist_from_center = lambda name: geo_distance(center, us_centers[name])
    for name in sorted(us_states.keys(), key=dist_from_center)[:int(n)]:
        draw_state(us_states[name])
        draw_name(name, us_centers[name])
    draw_dot(center, 1, 10)  # Mark the center state with a red dot
    wait()

def draw_state_sentiments(state_sentiments={}, canvas=None):
    """Draw all U.S. states in colors corresponding to their sentiment value.

    Unknown state names are ignored; states without values are colored grey.

    state_sentiments -- A dictionary from state strings to sentiment values
    """
    if canvas: clear(canvas=canvas)
    for name, shapes in us_states.items():
        sentiment = state_sentiments.get(name, None)
        draw_state(shapes, sentiment, canvas=canvas)
    for name, shapes in us_states.items():
        center = find_center(shapes)
        if center is not None:
            draw_name(name, center, canvas=canvas)

def draw_state_sentiments(state_sentiments):
    """Draw all U.S. states in colors corresponding to their sentiment value.

    Unknown state names are ignored; states without values are colored grey.

    state_sentiments -- A database from state strings to sentiment values
    """
    for name, shapes in get_items(us_states):
        if name in get_keys(state_sentiments):
            sentiment = get_value_from_key(state_sentiments, name)
        else:
            sentiment = None
        draw_state(shapes, sentiment)
    for name, shapes in get_items(us_states):
        center = find_state_center(shapes)
        if center is not None:
            draw_name(name, center)

def draw_centered_map(center_state='TX', n=10):
    """Draw the n states closest to center_state.
    
    For example, to draw the 20 states closest to California (including California),
    enter in the terminal: 

    # python3 trends.py CA 20
    """
    us_centers = make_idict()
    for i, s in idict_items(us_states):
        us_centers = idict_insert(us_centers, i, find_center(s))
    center = idict_select(us_centers, center_state.upper())
    dist_from_center = lambda name: geo_distance(center, idict_select(us_centers, name)) 
    for name in sorted(idict_keys(us_states), key=dist_from_center)[:int(n)]:
        draw_state(idict_select(us_states, name))
        draw_name(name, idict_select(us_centers, name))
    draw_dot(center, 1, 10)  # Mark the center state with a red dot
    wait()