可视化: Python—MatPlotLib—二维表格_python from plottable import table

一、图示

二、代码

from matplotlib import pyplot as plt
import numpy as np
from pandas import *

def plot_table(row, col, vals):
    """
    函数功能: 绘制二维表格，草图如下:
        -----------------
            |col1 |col2 |
        -----------------
        row1|value|value|
        -----------------
        row2|value|value|
        -----------------
    输入：
        row:string,(N)           #['row1', 'row2']
        col:string,(M)           #['col1', 'col2']
        vals:np, (N,M)          
    """
    
    R, C = len(row), len(col)
    idx = Index(row)
    df = DataFrame(np.random.randn(R, C), index=idx, columns=col)
    
    # 根据行数列数设置表格大小
    figC, figR = 2.25*C, R
    fig = plt.figure(figsize=(figC, figR))
    
    # 设置fig并去掉边框
    ax = fig.add_subplot(111, frameon=True, xticks=[], yticks=[])
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.spines['bottom'].set_visible(False)
    ax.spines['left'].set_visible(False)
    
    the_table=plt.table(cellText=vals, rowLabels=df.index, colLabels=df.columns, colWidths = [0.1]*vals.shape[1], rowLoc='center', loc='center',cellLoc='center')
    the_table.set_fontsize(20)
    
    # 伸缩表格大小常数
    the_table.scale(figR/R*2 ,figC/C*1.5)
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三、使用

1、 导入包

from matplotlib import pyplot as plt
import numpy as np
from pandas import *
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2、构造参数

S =[
     [1,0.44,0.29,0.33],
     [0.44,1,0.35,0.32],
     [0.29,0.35,1,0.60],
     [0.33,0.32,0.60,1]
    ]

row = ["Chinese","English","Math","Physics"]
col = ["Chinese","English","Math","Physics"]
vals = np.array(S)
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3、绘制

plot_table(row, col, vals)
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