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python - matplotlib:设置主要和次要刻度线强制相同的 x 和 y 刻度

转载 作者:行者123 更新时间:2023-11-28 20:22:08 25 4
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这个问题与我之前提出的问题“matplotlib: Change grid interval and specify tick labels”有关,但现在我想更改 x Axis 和 y Axis 的比例。当我设置 x Axis 和 y Axis 的范围,然后指定主要和次要刻度的间隔时,它会强制 x Axis 和 y Axis 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。

Output

我怎样才能得到 x Axis 和 y Axis 的不同范围,并且仍然有像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,但如果有人能指出来,我将非常感激!!

最佳答案

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()

关于python - matplotlib:设置主要和次要刻度线强制相同的 x 和 y 刻度,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/24963711/

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