Question

Click to view data sample我正在尝试将bool working = true; for(int i = 0; i < urls.Count(); ++i) { working = true; ChromiumWebBrowser scraper = new ChromiumWebBrowser(urls[i]); scraper.FrameLoadEnd += scrape; while(working) { Application.DoEvents(); System.Threading.Thread.Sleep(50); } } async void scrape(object sender, FrameLoadEndEventArgs args) { ChromiumWebBrowser chrome = (ChromiumWebBrowser)sender; if (args.Frame.IsMain && chrome.CanExecuteJavascriptInMainFrame) { string script = Properties.Resources.script; chrome.ExecuteScriptAsync(script); string data = " "; do { string html = await chrome.GetSourceAsync(); string dataField = "data"; int dataFieldIndex = html.IndexOf(phoneField); data = html.Substring(dataFieldIndex + dataField.Count(), html.IndexOf("<", dataFieldIndex + dataField.Count()) - dataFieldIndex - dataField.Count()); System.Threading.Thread.Sleep(50); } while (data.Count() == 3); addDataToHashSet(data); } else { Debug.WriteLine("Error"); } } private void addDataToHashSet(string data) { data = data.Replace("-", ""); data = data.Replace(" ", ""); dataHashSet.Add(data); working = false; }（每个项目类型）的CefSettings cefSettings = new CefSettings(); cefSettings.CefCommandLineArgs.Add("allow-running-insecure-content", "1"); cefSettings.IgnoreCertificateErrors = true; CefSharpSettings.Proxy = new ProxyOptions(ip: "...", port: "..."); Cef.Initialize(cefSettings);值替换为Item_Visibility的值。但这会引发错误：

Item_Visibility

Item_Identifier

Answer 1

据我所知，您想将Item_Visibility的每个唯一值的Item_Identifier的平均值放入Item_Visibility列中。我猜，Item_Identifier在这种情况下是指一组项目，因为以其他方式将它们分组然后取均值是没有意义的。

回答您的问题：

# sample data creation
data = pd.DataFrame(np.random.rand(4000,2),columns=['Item_Identifier','Item_Visibility'])
data.loc[:,'Item_Identifier']= data.loc[:,'Item_Identifier'].apply(
        lambda x: 'id1' if x> 0.4 else 'id2')
# creating map_table so we could map values
map_table = data.groupby('Item_Identifier').mean()
# mapping values
data.loc[:,'Item_Visibility'] = data.loc[:,'Item_Identifier'].map(
        map_table.to_dict()['Item_Visibility'])

希望有帮助！

Answer 2

使用数据透视表-

visibility_avg = data.pivot_table(values = 'Item_Visibility', index = 'Item_Identifier')
#imputing  0 values with mean visibility of products
miss_bool = data['Item_Visibility'].isnull()
data.loc[miss_bool,'Item_Visibilty'] = data.loc[miss_bool,'Item_Identifier'].apply(lambda x: visibility_avg(x))

ValueError：传递的项目数错误5，展示位置表示1

2 个答案: