tornado下pandas ndarray乱试

from tornado.web import  RequestHandler
from pymongo import MongoClient
import pandas,xlrd
from pandas import DataFrame,Series
import json
import os
import time
currentpath =os.getcwd()
class multiupload(RequestHandler):
    def get(self):
        self.render('multifilesupload.html')
    def post(self):
        if self.request.files:
            sourcefile = self.request.files
            for i in sourcefile.keys():
                targetpath = currentpath+"\\temfile\\"+sourcefile[i][]['filename']
                with open(targetpath,"wb") as writer:
                    writer.write(sourcefile[i][]['body'])
            self.write(json.dumps({"status":"ok"}))
        else:
            self.write(json.dumps({"status": "motherfuck"}))
class qingxiniaodao(RequestHandler):
    def get(self):
        self.render('mongowithpanda.html')
    def post(self):
        if self.request.files:
            filename = self.request.files['fileobj'][]['filename']
            filename =currentpath+"\\temfile\\"+filename
            with open(filename,"wb") as writer:
                writer.write(self.request.files['fileobj'][]['body'])
            mydataframe = pandas.read_excel(filename)
            #print(mydataframe)
            title =[]
            rets=[]
            superdict = {}
            retlist =[]
            print("这是表头：",mydataframe.columns)
            for i in mydataframe.columns:
                title.append(i)
            #mydataframe.values----结果集ndarray类型
            print("算出数据集的行，列数：", mydataframe.values.shape)
            rowcount = mydataframe.values.shape[]#ndarray的行数，--元组
            i=
            print("打印数据集的值：", mydataframe.values)
            print("打印数据集的某行某列：", mydataframe.values[][])
            k=
            for i in range(,rowcount):
                for k in range(,len(title)):
                    superdict[title[k]]=mydataframe.values[i][k]
                retlist.append(superdict)
                superdict = {}
                i+=
            # for i in title:
            #     superdict.a
            self.write(json.dumps({"rets":retlist}))

输出结果：
这是表头： Index(['articleflid', 'articlefl', 'articleflcn'], dtype='object')
算出数据集的行，列数： (, )
打印数据集的值： [[ 'fist' '拳法']
 [ 'kick' '腿法']
 [ 'knee' '膝击']
 [ 'wrestling' '摔法']
 [ 'fit' '体能']]
打印数据集的某行某列： 拳法