Python Matplotlib.pyplot.close()用法及代码示例

Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。 Pyplot是Matplotlib模块的基于状态的接口，该模块提供了MATLAB-like接口。在Pyplot中可以使用各种图，例如线图，轮廓图，直方图，散点图，3D图等。

matplotlib.pyplot.close()函数

matplotlib库的pyplot模块中的close()函数用于关闭图形窗口。

用法： matplotlib.pyplot.close(fig=None)

参数：此方法仅接受一个参数。
fig:此参数接受以下值：

None:该值将关闭当前数字
Figure:此值将关闭给定的Figure实例
int:该值将关闭数字
str:此值将关闭图形名称
‘all’：该值将关闭所有数字

返回值：此方法不返回任何值。

以下示例说明了matplotlib.pyplot中的matplotlib.pyplot.close()函数：

范例1：

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.colors import LogNorm 
  
  
dx, dy = 0.015, 0.05
x = np.arange(-4.0, 4.0, dx) 
y = np.arange(-4.0, 4.0, dy) 
X, Y = np.meshgrid(x, y) 
   
extent = np.min(x), np.max(x), np.min(y), np.max(y) 
   
Z1 = np.add.outer(range(8), range(8)) % 2
plt.imshow(Z1, cmap ="binary_r",  
           interpolation ='nearest', 
           extent = extent,  
           alpha = 1) 
   
def geeks(x, y):
    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2)) 
   
Z2 = geeks(X, Y) 
   
x = plt.imshow(Z2, cmap ="Greens",  
               alpha = 0.7,  
               interpolation ='bilinear', 
               extent = extent) 
plt.close() 
plt.title('matplotlib.pyplot.close Example') 
plt.show()

输出：

范例2：

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
from matplotlib.colors import LogNorm 
import matplotlib.tri as tri 
      
dx, dy = 0.015, 0.05
x = np.arange(-4.0, 4.0, dx) 
y = np.arange(-4.0, 4.0, dy) 
X, Y = np.meshgrid(x, y) 
   
extent = np.min(x), np.max(x), np.min(y), np.max(y) 
   
Z1 = np.add.outer(range(8), range(8)) % 2
plt.imshow(Z1, cmap ="binary_r",  
           interpolation ='nearest', 
           extent = extent, 
           alpha = 1) 
   
def geeks(x, y):
    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2)) 
   
Z2 = geeks(X, Y) 
   
x = plt.imshow(Z2, cmap ="Greens", 
               alpha = 0.7,  
               interpolation ='bilinear', 
               extent = extent) 
plt.close(1) 
ang = 40
rad = 10
radm = 0.35
radii = np.linspace(radm, 0.95, rad) 
     
angles = np.linspace(0, 0.5 * np.pi, ang) 
angles = np.repeat(angles[..., 
                          np.newaxis],  
                   rad, axis = 1) 
  
angles[:, 1::2] += np.pi / ang 
     
x = (radii * np.cos(angles)).flatten() 
y = (radii * np.sin(angles)).flatten() 
z = (np.sin(4 * radii) * np.cos(4 * angles)).flatten() 
     
triang = tri.Triangulation(x, y) 
triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1), 
                         y[triang.triangles].mean(axis = 1)) 
                < radm) 
     
tpc = plt.tripcolor(triang, z, 
                    shading ='flat') 
  
plt.colorbar(tpc) 
plt.plasma() 
  
plt.title('matplotlib.pyplot.close() Example') 
plt.show()

输出：

注：本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.pyplot.close() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。