I am writing code for a random walk model, and I use plt.axes().get_xaxis().set_visible(False)
to hide the axes but when I run the program the plot still shows both axes.
Here is what I wrote:
import matplotlib.pyplot as plt
from random_walk import RandomWalk
# Keep making random walks, as long as the program is active
while True:
rw = RandomWalk()
rw.fill_walk()
point_numbers = list(range(rw.num_points))
plt.scatter(rw.x_values, rw.y_values, c=point_numbers, cmap=plt.cm.Blues, edgecolors='none', s=10)
# Emphasize the first and last points.
plt.scatter(0, 0, c='green', edgecolors='none', s=50)
plt.scatter(rw.x_values[-1], rw.y_values[-1], c='red', s=50)
# Remove the axes.
plt.axes().get_xaxis().set_visible(False)
plt.axes().get_yaxis().set_visible(False)
plt.show()
keep_running = input("Make another walk? (y/n): ")
if keep_running == 'n':
break
You may use plt.gca().get_xaxis().set_visible(False)
instead of plt.axes().get_xaxis().set_visible(False)
.
Here is a code example:
import matplotlib.pyplot as plt
import numpy as np
plt.plot(np.random.random(1000))
plt.gca().get_xaxis().set_visible(False)
This short code will return: