设置主要和次要刻度会强制使用相同的 x 和 y 比例

Question

这个问题与我之前问的问题“matplotlib：更改网格间隔并指定刻度标签”相关，但现在我想更改 x 和 y 轴的比例。当我设置 x 和 y 轴的范围，然后指定主要和次要刻度的间隔时，它会强制 x 和 y 轴相同。

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:\Users\Owl\Desktop\Plot.png'
plt.savefig(filename, dpi = 150)
plt.close()

这就是我得到的。

如何获得 x 轴和 y 轴的不同范围，并且仍然具有像这样的主要和次要刻度？我可能会遗漏一些非常简单的东西，但如果有人能指出，我非常感激！！

Answer 1

我更新了我的代码如下，现在我得到了我想要的！谢谢！

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)

# Set major ticks for x axis
major_xticks = np.arange(0, 501, 20)

# Set major ticks for y axis
major_yticks = np.arange(0, 301, 20)

# I want minor ticks for x axis
minor_xticks = np.arange(0, 501, 5)

# I want minor ticks for y axis
minor_yticks = np.arange(0, 301, 5)

# Specify tick label size
ax.tick_params(axis = 'both', which = 'major', labelsize = 6)
ax.tick_params(axis = 'both', which = 'minor', labelsize = 0)
# Suppress minor tick labels

ax.set_xticks(major_xticks)
ax.set_xticks(minor_yticks, minor = True)

ax.set_yticks(major_xticks)
ax.set_yticks(minor_yticks, 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:\Users\Owl\Desktop\Plot.png'
plt.savefig(filename, dpi = 150)
plt.close()

Answer 2

那是因为您将 x 和 y 刻度设置为相同的值。如果您想要不同的尺寸，那么您还需要不同的刻度。您无法将两组刻度设置为相同的

major_ticks

位置。为 x 轴创建一个刻度位置列表，为 y 轴创建一个单独的刻度位置列表，然后将每个轴的刻度设置到相应的列表。