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📜  Python中的 Matplotlib.axis.Axis.set_smart_bounds()函数

📅  最后修改于: 2022-05-13 01:54:39.666000             🧑  作者: Mango

Python中的 Matplotlib.axis.Axis.set_smart_bounds()函数

Matplotlib是Python中的一个库,它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库,用于处理更广泛的 SciPy 堆栈。

Matplotlib.axis.Axis.set_smart_bounds()函数

matplotlib 库的轴模块中的Axis.set_smart_bounds()函数用于将轴设置为具有智能边界。

下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.set_smart_bounds()函数:

示例 1:

Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
  
  
fig = plt.figure()
x = np.linspace(-np.pi, np.pi, 100)
y = 2*np.sin(x)
  
ax = fig.add_subplot()
ax.set_title('centered spines')
ax.plot(x, y)
  
ax.spines['left'].set_position('center')
ax.spines['right'].set_color('none')
ax.spines['bottom'].set_position('center')
ax.spines['top'].set_color('none')
ax.spines['left'].set_smart_bounds(True)
ax.spines['bottom'].set_smart_bounds(True)
  
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
  
ax.grid() 
  
fig.suptitle("""matplotlib.axis.Axis.set_smart_bounds()
function Example\n""", fontweight ="bold")  
    
plt.show()


Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
  
  
fig = plt.figure()
x = np.linspace(-np.pi, np.pi, 100)
y = 2*np.sin(x)
  
ax = fig.add_subplot()
ax.set_title('Spines at data (3, 2)')
ax.plot(x, y)
  
ax.spines['left'].set_position(('data', 3))
ax.spines['right'].set_color('none')
ax.spines['bottom'].set_position(('data', 2))
ax.spines['top'].set_color('none')
ax.spines['left'].set_smart_bounds(True)
ax.spines['bottom'].set_smart_bounds(True)
  
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
  
ax.grid() 
  
fig.suptitle("""matplotlib.axis.Axis.set_smart_bounds()
function Example\n""", fontweight ="bold")  
    
plt.show()


输出:

示例 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
  
  
fig = plt.figure()
x = np.linspace(-np.pi, np.pi, 100)
y = 2*np.sin(x)
  
ax = fig.add_subplot()
ax.set_title('Spines at data (3, 2)')
ax.plot(x, y)
  
ax.spines['left'].set_position(('data', 3))
ax.spines['right'].set_color('none')
ax.spines['bottom'].set_position(('data', 2))
ax.spines['top'].set_color('none')
ax.spines['left'].set_smart_bounds(True)
ax.spines['bottom'].set_smart_bounds(True)
  
ax.xaxis.set_ticks_position('bottom')
ax.yaxis.set_ticks_position('left')
  
ax.grid() 
  
fig.suptitle("""matplotlib.axis.Axis.set_smart_bounds()
function Example\n""", fontweight ="bold")  
    
plt.show()

输出: