Python中的 Matplotlib.axes.Axes.pcolorfast()
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.pcolorfast()函数
matplotlib 库的 axes 模块中的Axes.pcolorfast()函数也用于创建具有非规则矩形网格的伪彩色图。它有一些限制:仅支持平面着色、缺少对数缩放和缺少 pyplot 包装器。
Syntax: Axes.pcolorfast(self, *args, alpha=None, norm=None, cmap=None, vmin=None, vmax=None, data=None, **kwargs)
pcolorfast([X, Y, ] C, **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.
Returns: This returns the following:
- image: This returns the image depend on AxesImage, PcolorImage and QuadMesh .
下面的示例说明了 matplotlib.axes 中的 matplotlib.axes.Axes.pcolorfast()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(30, 30)
fig, ax0 = plt.subplots()
ax0.pcolorfast(Z)
ax0.set_title('matplotlib.axes.Axes.pcolorfast() 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 = 0.15, 0.05
y, x = np.mgrid[slice(-3, 3 + dy, dy), slice(-3, 3 + dx, dx)]
z = (1 - x / 2. + x ** 5 + 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.pcolorfast(x, y, z, cmap ='Greens', vmin = z_min, vmax = z_max)
fig.colorbar(c, ax = ax)
ax.set_title('matplotlib.axes.Axes.pcolorfast() Examples')
plt.show()
输出: