有些小伙伴做表格追求版面美观，有的是喜欢表格层次分明，那就一定不能错过今天的巧用openpyxl设置边框为粗匣框线教学，集美观与层次分明一体的实用教学。

举个简单的例子，就是这样：

思路：openpyxl有一个border方法可以给单元格设置边框，同时需要设置上下左右四个方向。我们先得到这片区域的最外层的单元格们，分四个方向，我们给最左边一排的单元格设置左边框为粗线，其他三边为细线，其他三个方向的单元格方法一样。

代码示例：import openpyxl

from openpyxl.styles import Side, Border, colors

#定义边框样式

def my_border(t_border, b_border, l_border, r_border):

border = Border(top=Side(border_style=t_border, color=colors.BLACK),

bottom=Side(border_style=b_border, color=colors.BLACK),

left=Side(border_style=l_border, color=colors.BLACK),

right=Side(border_style=r_border, color=colors.BLACK))

return border

#初始化制定区域边框为所有框线

def format_border(s_column, s_index, e_column , e_index):

for row in tuple(sheet[s_column + str(s_index):e_column + str(e_index)]):

for cell in row:

cell.border = my_border('thin', 'thin', 'thin', 'thin')

#给指定区域设置粗匣框线

def set_solid_border(area_list):

for area in area_list:

s_column = area[0]

s_index = area[1]

e_column = area[2]

e_index = area[3]

#设置左粗框线

for cell in sheet[s_column][s_index - 1:e_index]:

cell.border = my_border(cell.border.top.style, cell.border.bottom.style,

'medium', cell.border.right.style)

# 设置右粗框线

for cell in sheet[e_column][s_index - 1:e_index]:

cell.border = my_border(cell.border.top.style, cell.border.bottom.style,

cell.border.left.style, 'medium')

# 设置上粗框线

for row in tuple(sheet[s_column + str(s_index):e_column + str(s_index)]):

for cell in row:

cell.border = my_border('medium', cell.border.bottom.style,

cell.border.left.style, cell.border.right.style)

# 设置下粗框线

for row in tuple(sheet[s_column + str(e_index):e_column + str(e_index)]):

for cell in row:

cell.border = my_border(cell.border.top.style, 'medium',

cell.border.left.style, cell.border.right.style)

if __name__ == '__main__':

wb = openpyxl.load_workbook('test.xlsx')

sheet = wb['Sheet1']

format_border('A', 3, 'D', 10)

set_solid_border([['A', 3, 'D', 5], ['A', 6, 'D', 7], ['A', 8, 'D', 10],

['A', 3, 'A', 10], ['B', 3, 'C', 10], ['D', 3, 'D', 10]])

wb.save('test.xlsx')

运行结果如下：

设置完粗框线的表格是不是层次分明，更加美观了呢？更多Python实用知识，点击进入PyThon学习网教学中心。