Question

我对Pandas和Flask很陌生，试图利用它来输出包含调查反馈的CSV的摘要版本，我可以定期向用户发送电子邮件。

作为一个独立的函数，只要我给它一个指定的输入文件（例如'users / sample.csv'）和outfile但它作为应用程序的一部分运行并使用上传的html文件时，它就会工作。同 TypeError：csuppfb（）至少需要2个参数（给定0）

基本上我想将上传的文件传递给函数，并让Pandas做它的事情，但它没有那么远。以下是代码：

import re,os
import beatbox
import pandas as pd
import numpy as np
import argparse
from jinja2 import Environment, FileSystemLoader
from weasyprint import HTML
from os.path import isfile,join
from flask import Flask, request, redirect, url_for,render_template,json as fjson,send_from_directory
from werkzeug import secure_filename
from mapping import Autotagging,Manualtagging
from defs import *

UPLOAD_FOLDER = './uploads'
PIVOT_FOLDER = './pivot'
ALLOWED_EXTENSIONS = set(['csv'])

app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
app.config['PIVOT_FOLDER']= PIVOT_FOLDER

@app.route('/feedback',methods=['GET', 'POST'])
def feedback():
    if request.method == 'POST':
        file = request.files['file']
        if file and allowed_file(file.filename):
            filename = randomword(6)+'_'+secure_filename(file.filename)
            file.save(os.path.join(app.config['PIVOT_FOLDER'], filename))
            return redirect(url_for('csuppfb',df=filename))

    return render_template('mappingtest.html')

@app.route('/csuppfb', methods=['POST','GET'])
def csuppfb(df,infile, index_list=["Case Owner","Case Number","Support Survey - Service rating"], value_list = ["Age (Hours)"]):
    """
    Creating a pivot table from the raw dataframe and returning it as a dataframe
    """
    table = pd.pivot_table(df, index=index_list, values = value_list, 
                    aggfunc=[np.sum,np.mean], fill_value=0)
    return table

def get_summary_stats(df, product):
    """
    Get a stats summary 
    """
    results.append(df[df["Support Survey - Service rating"]==product]["Closed"].mean())
    results.append(df[df["Support Survey - Service rating"]==product]["Age (Hours)"].mean())
    return results

def dataform(df):
    """
    Take the dataframe and output it in html to output a pdf report or display on a web page
    """
    df = pd.read_csv(filename)
    csuppreport = pivot_table(df,filename)
    agent_df = []
    for agent in csuppreport.index.get_level_values(0).unique():
        agent_df.append([agent, csuppreport.xs(agent, level=0).to_html()])
    env = Environment(loader=FileSystemLoader('.'))
    template = env.get_template("csupp.html")


template_vars={"title": "CSUPP FB REPORT", 
            "Excellent": get_summary_stats(df,"Excellent"),
            "Good": get_summary_stats(df,"Good"),
            "csupp_pivot_table": csuppreport.to_html(),
            "agent_detail": agent_df}

html_out = template.render(template_vars)
HTML(string=html_out).write_pdf(args.outfile.name,stylesheets=["style.css"])
return render_template('csupp.html')

将我上传的文件用作数据框参数的最佳方法是什么？ def csuppfb（df，infile ... ？

非常感谢任何建议。我觉得这很明显，我很想知道。

Answer 1

您需要使用包含所有url参数的请求中的args对象 http://flask.pocoo.org/docs/0.10/quickstart/#the-request-object

请参阅此基本示例：

@app.route('/csuppfb', methods=['POST','GET'])
    def csuppfb():
        if request.args['df'] :
            df = request.args['df']
            #Do your panda stuff here. Instead of returning the filename :D
            return str(df)
        else :
            return 'nofile'

Python Flask - 将文件上传到Pandas

1 个答案: