如何为Matplotlib表中的特定单元格分配特定颜色？ [英] How to assign specific colors to specific cells in a Matplotlib table?

问题描述

在pylab_examples之后，我在matplotlib中创建了一个简单的2x5单元格表。

代码：

 ＃准备表
列=（'A'，'B'，'C'，'D'，'E'）
行= [ A， B] 
 cell_text = [[ 1， 1， 1， 1， 1]，[ 2， 2， 2， 2， 2]] 
＃在轴
 ax [4] .axis（'tight'）
 ax [4]的底部添加一个表格。 axis（'off'）
 the_table = ax [4] .table（cellText = cell_text，colLabels = columns，loc ='center'）
  

现在，我想为 color =＃56b5fd 的单元格A1和的单元格A2着色color =＃1ac3f5 。所有其他单元格应保持白色。 Matplotlib的

或者，您可以将特定单元格的面色设置为

  the_table [（1，0）]。set_facecolor（＃56b5fd）
 the_table [（2，0 ）]。set_facecolor（＃1ac3f5）
  

与以下结果相同以上。

Following the pylab_examples, I have created a simple 2x5 cells table in matplotlib.

Code:

# Prepare table
columns = ('A', 'B', 'C', 'D', 'E')
rows = ["A", "B"]
cell_text = [["1", "1","1","1","1"], ["2","2","2","2","2"]]
# Add a table at the bottom of the axes
ax[4].axis('tight')
ax[4].axis('off')
the_table = ax[4].table(cellText=cell_text,colLabels=columns,loc='center')

Now, I want to color cell A1 with color = "#56b5fd" and cell A2 with color = "#1ac3f5". All other cells should remain white. Matplotlib's table_demo.py as well as this example only show me how to apply a color map with pre-defined colors that depend on the values in the cell.

How to assign specific colors to specific cells in a Matplotlib-generated table?

解决方案

The easiest way to colorize the background of cells in a table is to use the cellColours argument. You may supply a list of lists or an array with the same shape as the data.

import matplotlib.pyplot as plt
# Prepare table
columns = ('A', 'B', 'C', 'D', 'E')
rows = ["A", "B"]
cell_text = [["1", "1","1","1","1"], ["2","2","2","2","2"]]
# Add a table at the bottom of the axes
colors = [["#56b5fd","w","w","w","w"],[ "#1ac3f5","w","w","w","w"]]

fig, ax = plt.subplots()
ax.axis('tight')
ax.axis('off')
the_table = ax.table(cellText=cell_text,cellColours=colors,
                     colLabels=columns,loc='center')

plt.show()

Alternatively, you can set the facecolor of a specific cell as

the_table[(1, 0)].set_facecolor("#56b5fd")
the_table[(2, 0)].set_facecolor("#1ac3f5")

Resulting in the same output as above.

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