Python如何按单元格读取复杂电子表格(Excel)的数据

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple xlrd
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple xlwt

data_dict = {
            '油品规格名称':{'colname':'oilname','id':1},
            '期初库存':{'colname':'openinginventory','id':7},
            '本期进货':{'colname':'currentpurchase','id':10},
            '加油机发出量':{'colname':'sendout','id':13},
            '数量':{'colname':'values','id':16},
            ......

workbook = xlrd.open_workbook(filename)

table = workbook.sheet_by_index(0)，按索引顺序
table = workbook.sheets()[0]
table = workbook.sheet_by_name(‘日报表202110-202210')，按sheet名称

value = table.cell_value(rowx=2, colx=0)，rowx，colx分别是行、列索引数（注意：从0开始）

import xlrd
# filename是文件的路径名称，如果路径或者文件名有中文给前面加一个r拜师原生字符。
workbook = xlrd.open_workbook(filename=r'日报表202110-202210.XLS')
#workbook = xlrd.open_workbook(filename=r'2日报表202110-202210.XLS',encoding_override='utf-8')
# 获取第一个sheet表格
table = workbook.sheets()[0]
# 初始化，按行定义list
dat_row = []
# 数据单元格，列的索引位置
cols_index = [1,7,10,13,16,20,23,30,...,83,87]
# 批发油的情况，价格不一致（猜测）
cols_index_0 = [16,20,23,30,...]
cols_len = len(cols_index)
cols_len_0 = len(cols_index_0)
# 获取sheet中有效行数
rows = table.nrows
# 表头与首行数据间隔函数
irow_bank = 5 
irow = 0
icol = cols_index[0]
while irow < rows:
    if table.cell_value(rowx=irow, colx=0) == '编制单位:':
        cell_vd = table.cell_value(rowx=irow, colx=39)   # 日报时间索引位置39 
    cell_v = table.cell_value(rowx=irow, colx=icol)
    if cell_v == '名称':
        #irow = irow + irow_bank
        # 跨过空行
        irow = irow + 1
        while len(table.cell_value(rowx=irow, colx=icol)) == 0:
            irow = irow + 1
        while table.cell_value(rowx=irow, colx=icol) != '合计':
            dat_col = []
            for j in range(cols_len):
                dat_col.append(table.cell_value(rowx=irow, colx=cols_index[j]))
            # 批发油的情况，价格不一致
            if len(table.cell_value(rowx=irow+1, colx=icol)) == 0:
                irow = irow + 1            
                for j in range(cols_len_0):
                    dat_col.insert(4+j,table.cell_value(rowx=irow, colx=cols_index_0[j]))
            else:
                for j in range(cols_len_0):
                    dat_col.append(0)
            dat_col.append(cell_vd)
            print(dat_col)                
            dat_row.append(dat_col)
            irow = irow + 1
    # 逐行扫描
    irow = irow + 1
irow

import pandas as pd
df.to_excel('dd.xls',encoding='utf_8_sig',index=False)