Matplotlib.axes.axes.minorticks_on()

Matplotlib是Python中的一个库，它是NumPy库的数值-数学扩展。Axes包含了大多数图形元素:Axis、Tick、Line2D、Text、Polygon等，并设置坐标系。Axes的实例通过callbacks属性支持回调。

函数:Matplotlib.axes.axes.minorticks_on()

matplotlib库的Axes模块中的Axes.minorticks_on()函数用于显示坐标轴上的小刻度。

语法:

Axes.minorticks_on(self)

下面的例子演示了matplotlib.axes.axes.minorticks_on()函数在matplotlib.axes中的作用:

示例1

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cbook as cbook
import matplotlib.cm as cm
  
from matplotlib.collections import LineCollection
from matplotlib.ticker import MultipleLocator
  
  
with cbook.get_sample_data('s1045.ima.gz') as dfile:
    im = np.frombuffer(dfile.read(),
                       np.uint16).reshape((256, 256))
  
fig, ax1 = plt.subplots()
im = np.ravel(im)
im = im[np.nonzero(im)] 
im = im / (2**20 - 1)
ax1.hist(im, bins = 40, color ="green")
ax1.set_yticks([])
ax1.set_xlabel('Intensity (a.u.)')
ax1.set_ylabel('MRI density')
ax1.minorticks_on()
  
fig.suptitle('matplotlib.axes.Axes.minorticks_on() \
function Example\n\n', fontweight ="bold")
plt.show()

输出:

示例2

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
x = np.arange(0.0, 2, 0.01)
y1 = np.sin(2 * np.pi * x)
y2 = 1.2 * np.sin(4 * np.pi * x)
  
fig, (ax, ax1) = plt.subplots(1, 2)
  
ax.fill_between(x, y1, y2, color ="green",
                alpha = 0.6)
ax.set_title("Without minorticks_on()")
  
ax1.fill_between(x, y1, y2, color ="green",
                 alpha = 0.6)
ax1.minorticks_on()
ax1.set_title("With minorticks_on()")
  
fig.suptitle('matplotlib.axes.Axes.minorticks_on()\
 function Example\n\n', fontweight ="bold")
plt.show()

输出: