Python中的 Matplotlib.axes.Axes.pcolormesh()

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.pcolormesh()函数

matplotlib 库的 axes 模块中的Axes.pcolormesh()函数也用于创建具有非规则矩形网格的伪彩色图。对于给定目的，它比 pcolor 更专业，因此速度更快。它支持 Gouraud 着色

Syntax: Axes.pcolormesh(self, *args, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, shading=’flat’, antialiased=False, data=None, **kwargs)

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

C : This parameter contains the values in 2D array which are to be color-mapped.
X, Y: These parameter are the coordinates of the quadrilateral corners.
cmap : This parameter is a colormap instance or registered colormap name.
norm : This parameter is the Normalize instance scales the data values to the canonical colormap range [0, 1] for mapping to colors
vmin, vmax : These parameter are optional in nature and they are colorbar range.
alpha : This parameter is a intensity of the color.
snap : This parameter is used to snap the mesh to pixel boundaries.
edgecolors : This parameter is the color of the edges. {‘none’, None, ‘face’, color, color sequence}
shading : This parameter is the fill style. It cabe flat or gouraud.

Returns: This returns the following:

mesh : This returns the matplotlib.collections.QuadMesh

编程需要懂一点英语

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

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm
    
Z = np.random.rand(25, 25)
    
fig, ax0 = plt.subplots()
    
ax0.pcolormesh(Z)
    
ax0.set_title('matplotlib.axes.Axes.pcolormesh() Examples')
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm
    
dx, dy = 0.015, 0.05
y, x = np.mgrid[slice(-4, 4 + dy, dy),
                slice(-4, 4 + dx, dx)]
z = (1 - x / 3. + x ** 6 + y ** 3) * np.exp(-x ** 2 - y ** 2)
z = z[:-1, :-1]
z_min, z_max = -np.abs(z).max(), np.abs(z).max()
  
fig, ax = plt.subplots()
    
c = ax.pcolormesh(x, y, z, cmap ='Greens', vmin = z_min,
                  vmax = z_max)
  
fig.colorbar(c, ax = ax)
ax.set_title('matplotlib.axes.Axes.pcolormesh() Examples')
plt.show()

输出：