Matplotlib表行标签字体的颜色和大小 [英] Matplotlib Table Row Label Font Color and Size

问题描述

给定下表:

 将matplotlib.pyplot导入为plttable=plt.table(cellText=[' ', ' ', ' ', ' ', ' '], # 行数据值rowLabels=['1','2','3','4','5'],cellLoc ="left"，rowLoc ='左'，bbox=[0,0,.2,1], # [left,bottom,width,height]edges =")

我想将数字(1-5)的颜色更改为灰色，并将字体大小更改为12磅.

解决方案

您需要获取单元格的文本字体属性:

 将matplotlib.pyplot导入为plttable = plt.table(cellText = [''，'，''，'，'，']，#行数据值rowLabels=['1','2','3','4','5'],cellLoc ="left"，rowLoc ='左'，bbox = [0,0，.2,1]，#[左，底，宽，高]edges =")# 遍历表格的单元格table_props = table.properties()table_cells = table_props['child_artists']对于 table_cells 中的单元格:cell.get_text().set_fontsize(20)cell.get_text().set_color('灰色')plt.show()

另一种获取单元格文本属性的方法是使用单元格索引(i, j):

table[(i, j)].get_text().set_fontsize(12)table[(i, j)].get_text().set_color('red')

Matplotlib 文本字体属性描述如下:

Given the following table:

import matplotlib.pyplot as plt
table=plt.table(cellText=[' ', ' ', ' ', ' ', ' '], # rows of data values
          rowLabels=['1','2','3','4','5'],
          cellLoc="left",
          rowLoc='left',
          bbox=[0,0,.2,1], # [left,bottom,width,height]
          edges="")

I'd like to change the color of the numbers (1-5) to grey and the font size to 12 point.

解决方案

You need to get text font properties of the cells:

import matplotlib.pyplot as plt
table=plt.table(cellText=[' ', ' ', ' ', ' ', ' '], #rows of data values
          rowLabels=['1','2','3','4','5'],
          cellLoc="left",
          rowLoc='left',
          bbox=[0,0,.2,1],#[left,bottom,width,height]
          edges="")

# iterate through cells of a table
table_props = table.properties()
table_cells = table_props['child_artists']
for cell in table_cells: 
        cell.get_text().set_fontsize(20)
        cell.get_text().set_color('grey')
plt.show()

Another method to get text properties of the cell is used cell indexes (i, j):

table[(i, j)].get_text().set_fontsize(12)
table[(i, j)].get_text().set_color('red')

Matplotlib text font properties are described here: http://matplotlib.org/api/text_api.html#matplotlib.text.Text.set_fontproperties

As a result, the first code draw this figure:

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