matplotlib 同时设置主刻度和次刻度将强制使用相同的x和y刻度

bxjv4tth 于 2023-10-24 发布在其他

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这个问题与我之前问的问题“matplotlib: Change grid interval and specify tick labels“有关，但现在我想更改x和y轴的刻度。当我设置x和y轴的范围，然后指定主刻度和次刻度的间隔时，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

我怎么能得到不同的范围为x和y轴，仍然有这样的主要和次要tick？我可能错过了一些非常简单的，但如果有人能指出它，我非常感谢！！

matplotlib

来源：https://stackoverflow.com/questions/24963711/setting-both-major-and-minor-ticks-forces-same-x-and-y-scale

2条答案

按热度按时间

jchrr9hc1#

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()