如何在python中绘制动态编程表

Question

在python中绘制动态编程（如路径）的好方法是什么？

我已经在网上查看了pygame，但这真的是这种技术绘图的最佳选择吗？

一个选项可能是使用类似

之类的matplotlib

import matplotlib.pylab as plt
plt.figure()
col_labels=['col1','col2','col3']
row_labels=['row1','row2','row3']
table_vals=[[11,12,13],[21,22,23],[31,32,33]]

the_table = plt.table(cellText=table_vals,
                  colWidths = [0.1]*3,
                  rowLabels=row_labels,
                  colLabels=col_labels,
                  loc='center right')
plt.text(12,3.4,'Table Title',size=8)

plt.show()

如何在桌子上画线？

Answer 1

以下代码使用原生Matplotlib表格得到您想要的图形的近似值：

import matplotlib.pylab as plt
import numpy as np

def get_coord(table, irow, icol):
    # get coordinates of a cell. This seems to work, don't ask why.
    cell = table.get_celld()[irow+1,icol] # row 0 is column headers
    box = cell.get_bbox().get_points() # [[x0, y0],[x1, y1]]
    xc, yc = box.mean(axis=0) # get center
    return xc, yc

col_labels=['G','A','T','C','C']
row_labels= ['G','T','G','C','C']
table_vals= [
    ['x','','','',''],
    ['','','x','',''],
    ['x','','','',''],
    ['','','','x','x'],
    ['','','','x','x']]
line = [(0,0), (0,1), (1,2), (2,2), (3,3), (4,4)]    

# draw table
the_table = plt.table(cellText=table_vals,
    colWidths = [0.1]*len(col_labels),
    rowLabels=row_labels, colLabels=col_labels,
    cellLoc = 'center', rowLoc = 'center', bbox=[.1,.1,.8,.8])
plt.draw() # lay out table, so that cell coordinates are calculated

# look up line coordinates
x = []; y = []
for irow, icol in line:
    xc, yc = get_coord(the_table, irow, icol)
    x.append(xc)
    y.append(yc)

# draw line    
plt.plot(x, y, 'r', linewidth = 5, alpha=0.5)
plt.xlim([0,1])
plt.ylim([0,1])
plt.show()

结果：

请注意，结果并不是非常漂亮，例如，我可能无法弄清楚如何使用行标签更改列的宽度。还有一个问题是表格以“图形坐标”绘制，而线条则以“数据坐标”绘制，因此如果放大直线并且表格不再重叠。我在这些桌子上挣扎了很长时间，但在我看来，他们是一个很容易合作的PITA，结果代码很难理解。

我首选的解决方案是手工绘制表格：

import matplotlib.pylab as plt
import numpy as np

col_labels=['G','A','T','C','C']
row_labels= ['G','T','G','C','C']
table_vals= [
    ['X','','','',''],
    ['','','X','',''],
    ['X','','','',''],
    ['','','','X','X'],
    ['','','','X','X']]
line = np.array([
    [0, 1, 2, 2, 3, 4],
    [0, 0, 1, 2, 3, 4]])    
ncol = len(col_labels)
nrow = len(row_labels)

# draw grid lines
plt.plot(np.tile([0, ncol+1], (nrow+2,1)).T, np.tile(np.arange(nrow+2), (2,1)),
    'k', linewidth=3)
plt.plot(np.tile(np.arange(ncol+2), (2,1)), np.tile([0, nrow+1], (ncol+2,1)).T,
    'k', linewidth=3)

# plot labels
for icol, col in enumerate(col_labels):
    plt.text(icol + 1.5, nrow + 0.5, col, ha='center', va='center')
for irow, row in enumerate(row_labels):
    plt.text(0.5, nrow - irow - 0.5, row, ha='center', va='center')

# plot table content
for irow, row in enumerate(table_vals):
    for icol, cell in enumerate(row):
        plt.text(icol + 1.5, nrow - irow - 0.5, cell, ha='center', va='center')

# plot line
plt.plot(line[0] + 1.5, nrow - line[1] - 0.5, 'r', linewidth = 5, alpha = 0.5)

plt.axis([-0.5, ncol + 1.5, -0.5, nrow+1.5])
plt.show()

结果：

这看起来更好，代码很容易理解。您可能希望根据自己的喜好调整一些线宽和字体大小，并隐藏轴。