def main():
rw = RandomWalk()
rw.fill_walk()
fig, ax = plt.subplots()
ax.plot(rw.x_values, rw.y_values, linewidth=5)
ax.get_xaxis().set_visible(False)
ax.get_yaxis().set_visible(False)
plt.show()
def main():
"""Root function."""
while True:
rw = RandomWalk()
rw.fill_walk()
fig, ax = plt.subplots()
point_numbers = range(rw.num_points)
ax.scatter(rw.x_values,
rw.y_values,
s=5,
c=point_numbers,
cmap=plt.cm.Blues,
edgecolors='none')
ax.scatter(0, 0, c='green', s=50)
ax.scatter(rw.x_values[-1], rw.y_values[-1], c='red', s=50)
plt.show()
keep_running = input('Do you want to make another walk? (y/n): ')
if keep_running.lower() == 'n':
break
import matplotlib.pyplot as plt
from randomwalk import RandomWalk
#Make a random walk , and plot the points
while True:
#Creacion de objeto y llamada al metodo
rw = RandomWalk(50000)
rw.fill_walk()
#Generate scatter
point_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values,rw.y_values,c=point_numbers, cmap=plt.cm.Blues,edgecolor='none',s=1)
#Emphasize the first and last points.
plt.scatter(0,0,c='green',edgecolor='none',s=100)
plt.scatter(rw.x_values[-1],rw.y_values[-1],c='red',edgecolor='none',s=100)
plt.show()
keep_running = input("Make another walk? (y/n): ")
if keep_running == 'n':
break
hist.y_title = 'Frequency of Result'
hist.add('D6 + D6 + D6', result_frequency)
hist.render_to_file('visual_3.svg')
# Matplotlib to create a die-rolling visualisation
plt.figure(figsize=(10, 6))
plt.scatter([x for x in range(2, max(results) + 1)], result_frequency, s=15)
plt.xlabel('D6 + D6', fontsize=14)
plt.ylabel('Frequency', fontsize=14)
plt.show()
# Pygal to create a visualisation for random walk (count how many times in the same coordinate)
journey = RandomWalk(numpoints=50)
journey.fill_walk()
sorted_journey_set = sorted(set(journey.x_values))
same_coordinates_count = []
for x in sorted_journey_set:
same_coordinates_count.append(journey.x_values.count(x))
hist = pygal.Bar()
hist.x_title = 'x coordinate'
hist.y_title = 'count'
hist.x_labels = [str(x) for x in sorted_journey_set]
hist.add('', same_coordinates_count)
hist.render_to_file('randomwalk.svg')
import matplotlib.pyplot as plt
from randomwalk import RandomWalk
while True:
rw_visual = RandomWalk()
rw_visual.fill_walk()
point_numbers = list(range(rw_visual.numpoints))
# c=point_numbers: gradient from first position to ending position
plt.figure(figsize=(10, 6))
plt.scatter(rw_visual.x_values,
rw_visual.y_values,
c=point_numbers,
cmap=plt.cm.Blues,
edgecolor='none',
s=10)
plt.scatter(rw_visual.x_values[0], rw_visual.y_values[0], c='green', s=10)
plt.scatter(rw_visual.x_values[-1], rw_visual.y_values[-1], c='red', s=10)
plt.axes().get_xaxis().set_visible(False)
plt.axes().get_yaxis().set_visible(False)
plt.show()
user_input = input('Do you want to make another plot? y/n ')
if user_input.lower() == 'n':
break
import matplotlib.pyplot as plt
from randomwalk import RandomWalk
molecular_path = RandomWalk()
molecular_path.fill_walk()
plt.figure(figsize=(10, 6))
plt.plot(molecular_path.x_values, molecular_path.y_values, linewidth=1)
plt.scatter(molecular_path.x_values[0],
molecular_path.y_values[0],
c='green',
s=15)
plt.scatter(molecular_path.x_values[-1],
molecular_path.y_values[-1],
c='red',
s=15)
plt.show()