假设我在数据框中有这样的列:
using System;
using Microsoft.Xrm.Sdk;
using Microsoft.Xrm.Sdk.Query;
using Microsoft.Xrm.Tooling.Connector;
namespace My.Crm.RetrieveMultipleConsole
{
class Program
{
static void Main(string[] args)
{
try
{
var connectionString = @"AuthType = Office365; Url = xxxx/;Username=xxxx;Password=xxxx";
CrmServiceClient conn = new CrmServiceClient(connectionString);
IOrganizationService service = (IOrganizationService)conn.OrganizationWebProxyClient != null ? (IOrganizationService)conn.OrganizationWebProxyClient : (IOrganizationService)conn.OrganizationServiceProxy;
string fetchquery = @"<fetch version='1.0' output-format='xml-platform' mapping='logical' distinct='false'>
<entity name='account'>
<attribute name='name' />
<order attribute='name' descending='false' />
<filter type='and'>
<condition attribute='name' operator='like' value='%Tom%' />
</filter>
</entity>
</fetch>";
var multipleRequest = new Microsoft.Xrm.Sdk.Messages.ExecuteMultipleRequest()
{
Settings = new ExecuteMultipleSettings()
{
ContinueOnError = false,
ReturnResponses = true
},
Requests = new OrganizationRequestCollection()
};
EntityCollection accounts = service.RetrieveMultiple(new FetchExpression(fetchquery));
foreach (var c in accounts.Entities)
{
Console.WriteLine("accountid: {0}", c.Attributes["name"]);
Microsoft.Xrm.Sdk.Messages.UpdateRequest updateRequest = new Microsoft.Xrm.Sdk.Messages.UpdateRequest { Target = c };
multipleRequest.Requests.Add(updateRequest);
c.Attributes["name"] = "New Name";
Microsoft.Xrm.Sdk.Messages.ExecuteMultipleResponse multipleResponse = (Microsoft.Xrm.Sdk.Messages.ExecuteMultipleResponse)service.Execute(multipleRequest);
}
}
catch (Exception ex)
{
Console.WriteLine(ex.ToString());
}
Console.ReadLine();
}
}
}
我有成千上万的这样的ID。我想用相同的id对所有值求和,以便得到如下数据框:
id value
a 2
a 1
b 8
a 0
a 2
我如何在熊猫中这样做?
答案 0 :(得分:1)
您应该使用.groupby
df.groupby('id').sum()