Python 数据嵌套问题
黄舟
黄舟 2017-04-17 14:29:43
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Hi, everyone, I am a newbie for the python, right now I am doing a small program to read and write the xlsx file. I have refered some codes, and it is seems like I have some problems to deal with the data in this program.

我想求教一下,关于数据嵌套的问题,我是新手

# -*- coding: utf-8 -*- import xdrlib,sys import xlrd import xlwt def open_excel(file= 'incomingtry.xlsx'): try: data = xlrd.open_workbook(file) return data except Exception,e: print str(e) def excel_table_byindex(file= 'incomingtry.xlsx',colnameindex=0,by_index=0): data = open_excel(file) table = data.sheets()[by_index] nrows = table.nrows ncols = table.ncols colnames = table.row_values(colnameindex) list =[] for rownum in range(1,nrows): row = table.row_values(rownum) if row: app = {} for i in range(len(colnames)): app[colnames[i]] = row[i] list.append(app) return list def excel_table_byname(file='incomingtry.xlsx',colnameindex=0,by_name=u'Sheet1'): data = open_excel(file) table = data.sheet_by_name(by_name) nrows = table.nrows colnames = table.row_values(colnameindex) list =[] for rownum in range(1,nrows): row = table.row_values(rownum) if row: app = {} for i in range(len(colnames)): app[colnames[i]] = row[i] list.append(app) return list def creat_the_newfile(): wbk = xlwt.Workbook() sheet = wbk.add_sheet('sheet 1') def main(): tables = excel_table_byindex() #print tables for row in tables: print row #print "%d",row['order']; #for i in range(len(tables)): # print row{i} print 'I have',len(tables) print 'The 3rd row ist',tables[2] Total_rownum=len(row) print 'The lenght of row ist',Total_rownum if __name__=="__main__": main()

我看到了,这个tables是个list,而row则是dict,正确么?现在我如何访问或者操作list tables中row的每一个元素呢?
谢谢帮助
for this code, in the final step, I noticed that the tables is a list, but the row is dict embeded in the tables, so my question is, how can I visit the elements in all row and operate them?

thanks for your helping!

黄舟
黄舟

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全部回复 (1)
Peter_Zhu

搞不清楚你要问什么?dict就用dict的函数

for i in dict: print(dict[i])

想针对整个list操作可以用numpy/pandas,一维是列表,二维是字典,用pandas更方便,但估计你暂时还没能力学这个,先搞清dict吧

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