Python中的 Matplotlib.axes.Axes.set_xlim()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Axes 类包含大部分图形元素：Axis、Tick、Line2D、Text、Polygon 等，并设置坐标系。 Axes 的实例通过回调属性支持回调。

matplotlib.axes.Axes.set_xlim()函数：

matplotlib 库的 axes 模块中的Axes.set_xlim()函数用于设置 x 轴视图范围。

Syntax: Axes.set_xlim(self, left=None, right=None, emit=True, auto=False, *, xmin=None, xmax=None)

Parameters: This method accepts the following parameters.

left : This parameter is the left xlim in data coordinates
right : This parameter is the right xlim in data coordinates
emit : This parameter is used to notify observers of limit change.
auto : This parameter is used to turn on autoscaling of the x-axis.
xmin, xmax: These parameter are equivalent to left and right and it is an error to pass both xmin and left or xmax and right.

Returns:This method returns the following

left, right :This returns the new x-axis limits in data coordinates.

编程需要懂一点英语

下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.set_xlim()函数：

示例 1：

# Implementation of matplotlib function
from matplotlib.widgets import Cursor
import numpy as np
import matplotlib.pyplot as plt
  
  
np.random.seed(19680801)
  
fig, ax = plt.subplots(facecolor ='#A0F0CC')
  
x, y = 4*(np.random.rand(2, 100) - .5)
ax.plot(x, y, 'g')
ax.set_xlim(-3, 3)
  
cursor = Cursor(ax, useblit = True, color ='red', 
                linewidth = 2)
      
ax.set_title('matplotlib.axes.Axes.set_xlim() \
Example\n', fontsize = 14, fontweight ='bold')
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()
ax1.set(xlim =(-1.0, 1.0), 
        ylim =(-1.0, 1.0),
        autoscale_on = False)
  
ax2.set(xlim =(-0.5, 0.5), 
        ylim =(-0.5, 0.5),
        autoscale_on = False)
  
x, y, s, c = np.random.rand(4, 200)
s *= 200
  
ax1.scatter(x, y, s, c)
ax2.scatter(x, y, s, c)
  
  
def GFG(event):
      
    if event.button != 1:
        return
      
    x, y = event.xdata, event.ydata
    ax2.set_xlim(x - 0.5, x + 0.5)
    ax2.set_ylim(y - 0.5, y + 0.5)
    fig2.canvas.draw()
  
fig1.canvas.mpl_connect('button_press_event',
                        GFG)   
ax1.set_title('matplotlib.axes.Axes.set_xlim() \
Example\n Original Window ',
             fontsize = 14, fontweight ='bold')
  
ax2.set_title('Zoomed Window',
             fontsize = 14, fontweight ='bold')
  
plt.show()

输出：