How Python implements Excel data to be added to MongoDB

Using the Pymongo package for database connection, use XLRD package to read Excel data, because of the different data structure, to convert Excel format data into JSON format data. The encoding problem occurs because "TypeError: ' str ' object does not the support item assignment" to decode the data using the Json.loads method

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#coding =utf-8 Import xlrdimport sysimport jsonimport pymongofrom pymongo import mongoclient #连接数据库client =mongoclient (' localhost ', 27017) Db=client.scrapyaccount=db.weibo data=xlrd.open_workbook (' test.xlsx ') table=data.sheets () [0]# Read the first line of data in Excel as a field name to be stored in MongoDB rowstag=table.row_values (0) Nrows=table.nrows#ncols=table.ncols#print rowsreturndata= {}for I in range (1,nrows):  #将字段名和excel数据存储为字典形式 and converted to JSON format  returndata[i]=json.dumps (dict (Zip (Rowstag, Table.row_values (i)))  #通过编解码还原数据  returndata[i]=json.loads (returndata[i])  #print Returndata[i]  Account.insert (Returndata[i])

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