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."""
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_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."""
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):
"""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_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_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={}, 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_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_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=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_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_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()
def draw_state_frequencies(state_frequencies):
"""Draw all U.S. states in colors corresponding to their frequency value."""
for name, shapes in us_states.items():
frequency = state_frequencies.get(name, None)
draw_state(shapes, frequency)