我希望将雅虎金融api过滤到只有出价在0美元到10美元之间的股票

Question

我目前正在使用AlamoFire和Json将雅虎金融api加载到我的应用程序中。我想过滤出价类别，只显示0美元到10美元之间的股票，我该怎么做。附言：我用的是swift。我希望有人能帮忙。非常感谢。我将在下面附上一些代码。

导入UIKit进口Alamofire结构StockSearchResult{var符号：字符串？var名称：字符串？var exchange:字符串？var assetType:String？}struct Stock{var ask:字符串？var averageDailyVolume：字符串？var bid:字符串？var bookValue：字符串？var changeNumeric:字符串？var changePercent:String？var dayHigh：字符串？var dayLow：字符串？vardivideendShare：字符串？vardividerendYield：字符串？var ebitda：字符串？var epsEstimateCurrentYear:字符串？var epsEstimateNextQtr:String？var epsEstimateNextYr：字符串？var eps:字符串？var fiftydayMovingAverage:字符串？var lastTradeDate:String？var last:字符串？var lastTradeTime:String？var marketCap:String？var companyName:String？var oneYearTarget:String？var open：字符串？var pegRatio：字符串？var peRatio：字符串？var previousClose:String？var priceBook：字符串？var priceSales：字符串？var shortRatio：字符串？var stockExchange：字符串？var符号：字符串？var twoHundredayMovingAverage：字符串？var volume:字符串？var yearHigh：字符串？var yearLow：字符串？var dataFields:[[String:String]]}结构ChartPoint{var日期：NSDate？var体积：Int？var打开：CGFloat？var关闭：CGFloat？var低：CGFloat？var高：CGFloat？}枚举图表时间范围{case一天、五天、十天、一个月、三个月、一年、五年}class SwiftStockKit{类函数从SearchTerm获取StocksFromSearchTerm(术语：字符串，完成：(stockInfoArray:[StockSearchResult])->()){dispatch_async(dispatch_get_global_queue(dispatch_queue_PRIORITY_DEFAULT，0)){让searchURL="http://autoc.finance.yahoo.com/autoc"Alamofire.request(.GET，searchURL，参数：["query"：term，"region"：2，"lang"："en"]).responseJSON｛response-in如果让resultJSON=response.result.value为？[String:AnyObject]{如果让jsonArray=(resultJSON["ResultSet"]as！[String:AnyObject])["Result"]as？[[String:String]]{var stockInfoArray=[StockSearchResult]()用于jsonArray中的字典{stockInfoArray.append(StockSearchResult(symbol：dictionary["symbol"]，name：dictionary["name"]，exchange:dictionary"exchDisp"]，assetType:dictionary]"typeDisp")}dispatch_async(dispatch_get_main_queue()){完成(stockInfoArray:stockInfoArray)}}}}}}类func fetchStockForSymbol(符号符号：字符串，完成：(stock:stock)->()){dispatch_async(dispatch_get_global_queue(dispatch_queue_PRIORITY_DEFAULT，0)){let stockURL="http://query.yahooapis.com/v1/public/yql?q=select%20*%20来自%20yahoo.finance.报价%20其中%20symbol%20in%20(%22\(symbol)%22)&env=store%3A%2F%2Fdatatables.org/2Falltableswithkeys&format=json"Alamofire.request(.GET，stockURL).responseJSON｛中的response如果让resultJSON=response.result.value为？[String:AnyObject]{如果让stockData=((resultJSON["query"]as！[String:AnyObject])["results"]as！[String:AnyObject])["quote"]作为？[String:AnyObject]{//漫长的创作，是的var dataFields=[[String:String]]()dataFields.append(["Ask":stockData["Ask"]作为？String？？"N/A"])dataFields.append(["Average Daily Volume":stockData["AverageDailyVolume"]作为？String？？"N/A"])dataFields.append(["Bid":stockData["Bide"]作为？String？？"N/A"])dataFields.append(["Book Value":stockData["BookValue"]作为？String？？"N/A"])dataFields.append(["Change":stockData["Change"]as？String？？"N/A"])dataFields.append(["Percent Change":stockData["ChangeinPercent"]作为？String？？"N/A"])dataFields.append(["Day High":stockData["DaysHigh"]作为？String？？"N/A"])dataFields.append(["Day Low":stockData["DaysLow"]作为？String？？"N/A"])dataFields.append(["Div/Share":stockData["DivindShare"]作为？String？？"N/A"])dataFields.append(["Div Yield":stockData["DivindYield"]作为？String？？"N/A"])dataFields.append(["EBITDA":stockData["息税折旧摊销前利润"]为？String？？"N/A"])dataFields.append(["Current Yr EPS Estimate":stockData["EPSEestimateCurrentYear"]as？String？？"N/A"])dataFields.append(["下一季度每股收益估算"：stockData["EPSEstimateNextQuarter"]为？String？？"N/A"])dataFields.append(["下一年每股收益估算"：stockData["EPSEstimateNextYear"]作为？String？？"N/A"])dataFields.append(["收益/份额"：stockData["收益份额"]为？String？？"N/A"])dataFields.append(["50D MA"：stockData["FiftydayMovingAverage"]作为？String？？"N/A"])dataFields.append(["Last Trade Date":stockData["LastTradeDate"]为？String？？"N/A"])dataFields.append(["Last":stockData["LastTradePriceOnly"]为？String？？"N/A"])dataFields.append(["Last Trade Time":stockData["LastTradeTime"]为？String？？"N/A"])dataFields.append(["市值"：stockData["MarketCapitalization"]为？String？？"N/A"])dataFields.append(["Company":stockData["Name"]为？String？？"N/A"])dataFields.append(["一年目标"：stockData["OneyrTargetPrice"]作为？String？？"N/A"])dataFields.append(["Open":stockData["Open"]as？String？？"N/A"])dataFields.append(["PEG Ratio":stockData["PEGRatio"]作为？String？？"N/A"])dataFields.append(["PE Ratio":stockData["PERatio"]作为？String？？"N/A"])dataFields.append(["Previous Close":stockData["PreviousClose"]为？String？？"N/A"])dataFields.append(["Price Book":stockData["PriceBook"]作为？String？？"N/A"])dataFields.append(["Price Sales":stockData["PriceSales"]为？String？？"N/A"])dataFields.append(["Short Ratio":stockData["ShortRatio"]作为？String？？"N/A"])dataFields.append(["Stock Exchange":stockData["StockExchange"]作为？String？？"N/A"])dataFields.append(["Symbol":stockData["Symbol]as？String？？"N/A"])dataFields.append(["200D MA"：stockData["TwoHundredayMovingAverage"]作为？String？？"N/A"])dataFields.append(["Volume":stockData["Volume"]作为？String？？"N/A"])dataFields.append(["52w High"：stockData["YearHigh"]作为？String？？"N/A"])dataFields.append(["52w Low"：stockData["YearLow"]作为？String？？"N/A"])let stock=库存(ask:dataFields[0].values.first，averageDailyVolume：dataFields[1].values.first，bid:dataFields[2]。values.first，bookValue:dataFields[3].values.first，changeNumeric:dataFields[4].values.first，changePercent:dataFields[5].values.first，dayHigh：dataFields[6]。values.first，dayLow:dataFields[7].values.first，dividerendShare:dataFields[8].values.first，dividerendYield：dataFields[9].values.first，ebitda:dataFields[10].values.first，epsEstimateCurrentYear:dataFields[11].values.first，epsEstimateNextQtr:dataFields[12].values.first，epsEstimateNextYr:dataFields[13].values.first，eps:dataFields[14].values.first，fiftydayMovingAverage:dataFields[15].values.first，lastTradeDate:dataFields[16].values.first，last:dataFields[17].values.first，lastTradeTime:dataFields[18].values.first，marketCap:dataFields[19].values.first，companyName:dataFields[20].values.first，oneYearTarget：dataFields[21].values.first，open:dataFields[22].values.first，pegRatio:dataFields[23].values.first，peRatio:dataFields[24].values.first，previousClose:dataFields[25].values.first，priceBook:dataFields[26].values.first，priceSales:dataFields[27].values.first，shortRatio:dataFields[28].values.first，stockExchange:dataFields[29].values.first，symbol：dataFields[30].values.first，twoHundredayMovingAverage:dataFields[31].values.first，volume:dataFields[32].values.first，yearHigh：dataFields[33].values.first，yearLow：dataFields[34].values.first，dataFields:dataFields)dispatch_async(dispatch_get_main_queue()){完工(库存：库存)}}}}}}

Answer 1

如果您提前知道要过滤1到10之间的数组，可以这样做。

struct Stock {
var currentPrice : Double
}
let aStock = Stock(currentPrice: 1.1)
let bStock = Stock(currentPrice: 20.4)
let cStock = Stock(currentPrice: 5.0)
let stocks = [aStock,bStock,cStock]
let filteredStocks = stocks.filter({$0.currentPrice >= 1.0 && $0.currentPrice <= 10.0 })

上面的代码只是下面代码的简写

var filteredStocks = [Stock]()
for stock in stocks {
if (stock.currentPrice >= 1.0 && stock.currentPrice <= 10.0) {
filteredStocks.append(stock)
}
}

如果你想让最小和最大范围更动态，你可以把它放在一个以最小和最大为参数的方法中。

func filter(stocks: [Stock], from min: Double, to max: Double){
return stocks.filter({$0.currentPrice >= min && $0.currentPrice <= max })
}