Python 中的 matplotlib . axis . axis . get _ tick label _ extensions()函数

原文:https://www . geeksforgeeks . org/matplotlib-axis-axis-get _ tick label _ extensions-function-in-python/

Matplotlib 是 Python 中的一个库,是 NumPy 库的数值-数学扩展。这是一个神奇的 Python 可视化库,用于 2D 数组图,并用于处理更广泛的 SciPy 堆栈。

matplotlib . axis . axis . get _ tick label _ extensions()函数

matplotlib 库的轴模块中的axis . get _ tick label _ extensions()函数用于获取轴两侧刻度标签的范围

语法:axis . get _ tick label _ extensions(self,渲染器)

参数:该方法接受以下参数。

  • 渲染器:该参数是渲染器渲染实例 渲染器。

返回值:该方法返回坐标轴任一侧刻度标签的范围

下面的例子说明了 matplotlib . axis . get _ tick label _ extensions()函数在 matplotlib.axis:

例 1:

Python 3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt 
import numpy as np 

X = np.arange(-5, 5, 1) 
Y = np.arange(-5, 5, 1) 
U, V = np.meshgrid(X, Y) 

fig, ax = plt.subplots() 
ax.quiver(X, Y, U, V) 
ax.invert_xaxis() 
w = Axis.get_ticklabel_extents(ax.xaxis,
                               fig.canvas.get_renderer()) 

print("Value Return :\n"+str(w)) 
ax.grid()

fig.suptitle("""matplotlib.axis.Axis.get_ticklabel_extents()
function Example\n""", fontweight ="bold")  

plt.show()

输出:

值返回: (Bbox([[98.1079545454545453,29.07777777777777776],[513.603535353535353,43.0777777777777]]),Bbox([[0.0,0.0],[0.0,0.0]))

例 2:

Python 3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.pyplot as plt  

xx = np.random.rand(10, 5)  

fig, ax = plt.subplots()  

m = ax.pcolor(xx)  
m.set_zorder(-2)

w = Axis.get_ticklabel_extents(ax.xaxis, fig.canvas.get_renderer()) 

print("Value Return :\n"+str(w)) 
ax.grid()

fig.suptitle("""matplotlib.axis.Axis.get_ticklabel_extents()
function Example\n""", fontweight ="bold")  

plt.show()

输出:

值返回: (Bbox([[75.5625,29.07777777777776],[580.4375,43.077777777776]]),Bbox([[0.0,0.0],[0.0,0.0]])