Python中的 Matplotlib.pyplot.hexbin()函数

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Pyplot是Matplotlib模块的基于状态的接口，它提供了一个类似 MATLAB 的接口。在 Pyplot 中可以使用各种图，包括线图、等高线图、直方图、散点图、3D 图等。

Matplotlib.pyplot.hexbin()函数

matplotlib 库的 pyplot 模块中的hexbin()函数用于制作点 x、y 的二维六边形分箱图。

Syntax: matplotlib.pyplot.hexbin(x, y, C=None, gridsize=100, bins=None, xscale=’linear’, yscale=’linear’, extent=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=None, linewidths=None, edgecolors=’face’, reduce_C_function=, mincnt=None, marginals=False, *, data=None, **kwargs)
 

Parameters: This method accept the following parameters that are described below: 

• x, y: These parameter are the sequence of data. x and y must be of the same length.
• C : This parameter are the values which are accumulated in the bins.
• gridsize : This parameter represents the number of hexagons in the x-direction or both direction.
• xscale : This parameter uses a linear or log10 scale on the horizontal axis.
• xycale : This parameter uses a linear or log10 scale on the vertical axis.
• mincnt : This parameter is used to display cells with more than mincnt number of points in the cell.
• marginals : This parameter is used to plot the marginal density as colormapped rectangles along the bottom of the x-axis and left of the y-axis.
• extent : This parameter is the limits of the bins.

Returns: This returns the following: 

• polycollection : This returns the PolyCollection defining the hexagonal bins.

下面的示例说明了 matplotlib.pyplot 中的 matplotlib.pyplot.hexbin()函数：

示例 1：

Python3

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
    
np.random.seed(19680801) 
    
n = 100000
x = np.random.standard_normal(n) 
y = 12 * np.random.standard_normal(n) 
     
plt.hexbin(x, y, gridsize = 50, cmap ='Greens') 
plt.title('matplotlib.pyplot.hexbin() Example') 
plt.show()

输出：

示例 2：

Python3

# Implementation of matplotlib function 
import matplotlib.pyplot as plt 
import numpy as np 
    
np.random.seed(19680801) 
    
n = 100000
x = np.random.standard_normal(n) 
y = 2 * np.random.standard_normal(n) 
z =[1, 2, 3, 4] 
xmin = x.min() 
xmax = x.max() 
ymin = y.min() 
ymax = y.max() 
    
hb = plt.hexbin(x, y, gridsize = 50, 
               bins = z, cmap ='BuGn') 
    
plt.xlim(xmin, xmax)
plt.ylim(ymin, ymax)
    
cb = plt.colorbar(hb) 
cb.set_label(z)
plt.title('matplotlib.pyplot.hexbin()\
Example')
  
plt.show()

输出：