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excel合并单元格数据读取

时间:2020-09-24 21:49:24      阅读:24      评论:0      收藏:0      [点我收藏+]

标签:return   file   组合   object   pat   ict   dict   lam   一个   

import xlrd
apply_dic = []
def get_excel(excel_path):
with xlrd.open_workbook(excel_path) as workbook :
name_sheets = workbook.sheet_names() #获取Excel的sheet表列表,存储是sheet表名
for index in name_sheets: #for 循环读取每一个sheet表的内容
sheet_info = workbook.sheet_by_name(index) #根据表名获取表中的所有内容,sheet_info也是列表,列表中的值是每个单元格里值
first_line = sheet_info.row_values(0) #获取首行,我这里的首行是表头,我打算用表头作为字典的key,每一行数据对应表头的value,每一行组成一个字典
values_merge_cell = merge_cell(sheet_info) #这里是调用处理合并单元格的函数
print(values_merge_cell)
for i in range(1, sheet_info.nrows): #开始为组成字典准备数据
other_line = sheet_info.row_values(i)
for key in values_merge_cell.keys():
if key[0] == i:
other_line[key[1]] = values_merge_cell[key]
#print(other_line)
dic = list_dic(first_line,other_line) #调用组合字典的函数,传入key和value,字典生成
apply_dic.append(dic)
return apply_dic

def list_dic(list1,list2):
‘‘‘
two lists merge a dict,a list as key,other list as value
:param list1:key
:param list2:value
:return:dict
‘‘‘
dic = dict(map(lambda x,y:[x,y], list1,list2))
return dic

def merge_cell(sheet_info):
‘‘‘
#handle Merge transverse cells and handle Merge Vertical Cells, assign empty cells,
:param rlow:row, include row exclusive of row_range
:param rhigh:row_range
:param clow:col, include col exclusive of col_range
:param chigh:col_range
:param sheet_info:object of sheet
:return:dic contain all of empty cells value
‘‘‘
merge = {}
merge_cells = sheet_info.merged_cells
for (rlow, rhigh, clow, chigh) in merge_cells:
value_mg_cell = sheet_info.cell_value(rlow, clow)
if rhigh-rlow == 1:
# Merge transverse cells
for n in range(chigh-clow-1):
merge[(rlow, clow+n+1)] = value_mg_cell
elif chigh-clow == 1:
# Merge Vertical Cells
for n in range(rhigh-rlow-1):
merge[(rlow+n+1, clow)] = value_mg_cell
return merge

if __name__ == ‘__main__‘:
excel_path=r‘E:\Review\TR\file.xlsx‘
print(get_excel(excel_path))

excel合并单元格数据读取

标签:return   file   组合   object   pat   ict   dict   lam   一个   

原文地址:https://www.cnblogs.com/fyangq/p/13722746.html

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