matplotlib:设置主要和次要刻度会强制使用相同的 x 和 y 比例

This question is related to the earlier question I asked "matplotlib: Change grid interval and specify tick labels" but now I want to change the scale for x and y axes. When I set the range for x and y axes and then specify the intervals for major and minor ticks, it forces the x and y axes to be the same.

这是我的代码.

import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure()
ax = fig.add_subplot(111)

for key, value in sorted(data.items()):
    x = value[0][2]
    y = value[0][3]
    count = value[0][4]

    ax.annotate(count, xy = (x, y), size = 3)

plt.suptitle('Number of counts', fontsize = 12)

ax.set_xlabel('x')
ax.set_ylabel('y')
ax.set_aspect('equal')

# I want max x axis to be 500
ax.set_xlim(0, 501)
# I want max y axis to be 300
ax.set_ylim(0, 301)

# I want major ticks to be every 20
major_ticks = np.arange(0, 501, 20)

# I want minor ticks to be every 5
minor_ticks = np.arange(0, 501, 5)
# If I do minor_ticks = np.arange(0, 301, 5), I will not get minor ticks for the entire plot

# Specify tick label size
ax.tick_params(axis = 'both', which = 'major', labelsize = 4)
ax.tick_params(axis = 'both', which = 'minor', labelsize = 0)
# Suppress minor tick labels

ax.set_xticks(major_ticks)
ax.set_xticks(minor_ticks, minor = True)
ax.set_yticks(major_ticks)
ax.set_yticks(minor_ticks, minor = True)

# Set both ticks to be outside
ax.tick_params(which = 'both', direction = 'out')

# Specify different settings for major and minor grids
ax.grid(which = 'minor', alpha = 0.3)
ax.grid(which = 'major', alpha = 0.7)

filename = 'C:UsersOwlDesktopPlot.png'
plt.savefig(filename, dpi = 150)
plt.close()

这就是我得到的.

我怎样才能得到 x 和 y 轴的不同范围并且仍然有这样的主要和次要刻度?我可能遗漏了一些非常简单的东西，但如果有人能指出，我非常感谢！