Python中的 Matplotlib.axes.Axes.table()

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.table()函数

matplotlib 库的 axes 模块中的Axes.table()函数也用于将表格添加到 Axes。

Syntax: Axes.table(ax, cellText=None, cellColours=None, cellLoc=’right’, colWidths=None, rowLabels=None, rowColours=None, rowLoc=’left’, colLabels=None, colColours=None, colLoc=’center’, loc=’bottom’, bbox=None, edges=’closed’, **kwargs)

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

cellText : This parameter contains the texts to place into the table cells.
cellColours : This parameter is the background colors of the cells.
cellLoc : This parameter is the alignment of the text within the cells.
colWidths : This parameter is the column widths in units of the axes.
rowLabels : This parameter is the text of the row header cells.
rowColours : This parameter is the colors of the row header cells.
rowLoc : This parameter is the text alignment of the row header cells.
colLabels : This parameter is the text of the column header cells.
colColours : This parameter is the colors of the column header cells.
colLoc : This parameter is the text alignment of the column
header cells.
Loc : This parameter is the position of the cell with respect to ax.
bbox : This parameter is the bounding box to draw the table into.
edges : This parameter is the cell edges to be drawn with a line.

Returns: This returns the following:

table : This method returns the created table.

编程需要懂一点英语

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

示例 1：

# Implementation of matplotlib function
import matplotlib.pyplot as plt
  
val1 = ["{:X}".format(i) for i in range(10)]
val2 = ["{:02X}".format(10 * i) for i in range(10)]
val3 = [["" for c in range(10)] for r in range(10)]
  
fig, ax = plt.subplots()
ax.set_axis_off()
table = ax.table(
    cellText = val3, 
    rowLabels = val2, 
    colLabels = val1,
    rowColours =["palegreen"] * 10, 
    colColours =["palegreen"] * 10,
    cellLoc ='center', 
    loc ='upper left')        
  
ax.set_title('matplotlib.axes.Axes.table() function Example',
             fontweight ="bold")
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
   
   
data = [[ 66, 174,  71, 58],
        [ 58, 139,  45, 164],
        [ 89,  52, 18, 81],
        [ 78,  58, 123,  68],
        [13, 159, 164, 80]]
   
val1 = ('Geek1', 'Geek2', 'Geek3', 'Geek4')
val2 = ['Month % d' % x for x in (5, 4, 3, 2, 1)]
val3 = np.arange(0, 2500, 500)
val4 = 1000
val5 = plt.cm.plasma(np.linspace(0, 0.5, len(val2)))
val6 = len(data)
val7 = np.arange(len(val1)) + 0.3
val8 = 0.4
val9 = np.zeros(len(val1))
   
lista = []
  
fig, ax = plt.subplots()
   
for row in range(val6):
  
    ax.bar(val7, data[row], val8, bottom = val9,
           color = val5[row])
    val9 = val9 + data[row]
  
    lista.append([(x // 50) for x in val9])
      
the_table = ax.table(cellText = lista,
                      rowLabels = val2,
                      rowColours = val5,
                      colLabels = val1,
                      loc ='bottom')
   
plt.subplots_adjust(left = 0.2, bottom = 0.2)
  
ax.set_xticks([])
  
ax.set_title('matplotlib.axes.Axes.table() function Example',
              fontweight ="bold")
  
plt.grid()
plt.show()

输出：