Python中的 Matplotlib.figure.Figure.colorbar()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 figure 模块提供了顶级 Artist，即 Figure，其中包含所有绘图元素。该模块用于控制所有绘图元素的子图和顶级容器的默认间距。

matplotlib.figure.Figure.colorbar()函数

matplotlib 库的图形模块的 colorbar() 方法用于将颜色条添加到绘图中。

Syntax: colorbar(self, mappable, cax=None, ax=None, use_gridspec=True, **kw)

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

mappable: This parameter is mandatory for the Figure.colorbar method.
cax : This parameter is the Axes into which the colorbar will be drawn.
ax : This parameter is the parent axes from which space for a new colorbar axes will be stolen.
use_gridspec : This parameter is used to create an instance of Subplot using the gridspec module.

Returns: This method does not return any value.

编程需要懂一点英语

下面的示例说明了 matplotlib.figure 中的 matplotlib.figure.Figure.colorbar()函数：

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.tri as mtri
import numpy as np
       
# Create triangulation.
x = np.asarray([0, 1, 2, 3, 0.5,
                1.5, 2.5, 1, 2, 
                1.5])
  
y = np.asarray([0, 0, 0, 0, 1.0,
                1.0, 1.0, 2, 2, 
                3.0])
  
triangles = [[0, 1, 4], [1, 5, 4], 
             [2, 6, 5], [4, 5, 7],
             [5, 6, 8], [5, 8, 7],
             [7, 8, 9], [1, 2, 5], 
             [2, 3, 6]]
  
triang = mtri.Triangulation(x, y, triangles)
z = np.cos(3 * x) * np.cos(6 * y)+np.sin(6 * x)
       
fig, axs = plt.subplots()
t = axs.tricontourf(triang, z)
axs.tricontour(triang, z, colors ='white')
fig.colorbar(t)
  
fig.suptitle('matplotlib.figure.Figure.colorbar() \
function Example\n\n', fontweight ="bold")
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np
     
n_angles = 26
n_radii = 10
min_radius = 0.35
radii = np.linspace(min_radius,
                    0.95,
                    n_radii)
   
angles = np.linspace(0, 2 * np.pi,
                     n_angles,
                     endpoint = False)
  
angles = np.repeat(angles[..., np.newaxis], 
                   n_radii,
                   axis = 1)
  
angles[:, 1::2] += np.pi / n_angles
   
x = (10 * radii * np.cos(angles)).flatten()
y = (10 * radii * np.sin(angles)).flatten()
z = (np.cos(4 * radii) * np.cos(3 * angles)).flatten()
   
triang = tri.Triangulation(x, y)
   
triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1),
                         y[triang.triangles].mean(axis = 1))
                < min_radius)
     
fig1, ax1 = plt.subplots()
ax1.set_aspect('equal')
tcf = ax1.tricontourf(triang, z)
fig1.colorbar(tcf)
ax1.tricontour(triang, z, colors ='g')
  
fig1.suptitle('matplotlib.figure.Figure.colorbar()\
function Example\n\n', fontweight ="bold")
  
plt.show()

输出：