Python中的 Matplotlib.axes.Axes.hexbin()

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.hexbin()函数

matplotlib 库的 axes 模块中的Axes.hexbin()函数用于制作点 x、y、

Syntax: Axes.hexbin(self, 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.

编程需要懂一点英语

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

示例 1：

# 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)
  
fig, ax = plt.subplots()
ax.hexbin(x, y, gridsize = 50, cmap ='Greens')
ax.set_title('matplotlib.axes.Axes.hexbin() Example')
plt.show()

输出：

示例 2：

# 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()
  
fig, axs = plt.subplots(ncols = 3,
                        sharey = True)
  
ax = axs[0]
hb = ax.hexbin(x, y, gridsize = 50, 
               bins ='log', 
               cmap ='BuGn')
  
ax.set(xlim =(xmin, xmax), 
       ylim =(ymin, ymax))
  
cb = fig.colorbar(hb, ax = ax)
cb.set_label('log')
  
ax = axs[1]
hb = ax.hexbin(x, y, gridsize = 50,
               cmap ='Greens')
  
ax.set(xlim =(xmin, xmax), 
       ylim =(ymin, ymax))
  
cb = fig.colorbar(hb, ax = ax)
cb.set_label('Values')
  
ax.set_title('matplotlib.axes.Axes.\
hexbin() Example')
  
ax = axs[2]
hb = ax.hexbin(x, y, gridsize = 50,
               bins = z, cmap ='BuGn')
  
ax.set(xlim =(xmin, xmax), 
       ylim =(ymin, ymax))
  
cb = fig.colorbar(hb, ax = ax)
cb.set_label(z)
plt.show()

输出：