如何让Matplotlib.pyplot停止强制我的标记样式

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.scatter(x, y, marker='o', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.scatter(x, y, s=100, color='red', marker='^', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt
import matplotlib.path as mpath
import numpy as np

star = mpath.Path.unit_regular_star(5)
x = np.linspace(0, 10, 50)
y = np.sin(x)

plt.plot(x, y, marker=star, markersize=15, linestyle='None', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 10)
y = np.sin(x)

plt.plot(x, y, marker=r'\clubsuit', markersize=15, linestyle='None', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, marker='o', linestyle='-', label='Circle Marker how2matplotlib.com')
plt.plot(x, [i**2 for i in y], marker='s', linestyle='--', label='Square Marker how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [10, 20, 25, 30, 45]

plt.scatter(x, y, s=100, facecolors='none', edgecolors='r', marker='o', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.plot(x, y, marker='*', color='g', markersize=20, linestyle=':', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.scatter(x, y, s=200, facecolors='blue', edgecolors='black', marker='o', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]

plt.scatter(x, y, s=100, color='purple', marker='D', label='how2matplotlib.com')
plt.legend()
plt.show()

import matplotlib.pyplot as plt
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
import numpy as np
from PIL import Image

x = np.linspace(0, 10, 10)
y = np.sin(x)

fig, ax = plt.subplots()
ax.plot(x, y, label='how2matplotlib.com')

for x0, y0 in zip(x, y):
    ab = AnnotationBbox(OffsetImage(Image.open('custom_marker.png'), zoom=0.1), (x0, y0), frameon=False)
    ax.add_artist(ab)

plt.legend()
plt.show()