[c#] Linq Select Group By

I have the following class structure :

public class PriceLog
{
   public DateTime LogDateTime {get; set;}
   public int Price {get; set;}
}

For a List< PriceLog > I want a Linq query to generate an output which is equivalent to the data represented as below:

LogDateTime | AVG(Price)
Jan 2012 | 2000
Feb 2012 | 3000

Simply : I want to compute the average price over each month of the year.
Note: LogDateTime property should be formatted as LogDateTime.ToString("MMM yyyy")

I have tried the following, but not sure whether it will generate the desired result:

var result = from priceLog in PriceLogList
                         group priceLog by priceLog.LogDateTime.ToString("MMM yyyy") into dateGroup
                         select new PriceLog { GoldPrice = (int)dateGroup.Average(p => p.GoldPrice), SilverPrice = (int)dateGroup.Average(p => p.SilverPrice)};

This question is related to c# linq group-by

The answer is


This will give you sequence of anonymous objects, containing date string and two properties with average price:

var query = from p in PriceLogList
            group p by p.LogDateTime.ToString("MMM yyyy") into g
            select new { 
               LogDate = g.Key,
               AvgGoldPrice = (int)g.Average(x => x.GoldPrice), 
               AvgSilverPrice = (int)g.Average(x => x.SilverPrice)
            };

If you need to get list of PriceLog objects:

var query = from p in PriceLogList
            group p by p.LogDateTime.ToString("MMM yyyy") into g
            select new PriceLog { 
               LogDateTime = DateTime.Parse(g.Key),
               GoldPrice = (int)g.Average(x => x.GoldPrice), 
               SilverPrice = (int)g.Average(x => x.SilverPrice)
            };

    from p in PriceLog
    group p by p.LogDateTime.ToString("MMM") into g
    select new 
    { 
        LogDate = g.Key.ToString("MMM yyyy"),
        GoldPrice = (int)dateGroup.Average(p => p.GoldPrice), 
        SilverPrice = (int)dateGroup.Average(p => p.SilverPrice) 
    }

var result = priceLog.GroupBy(s => s.LogDateTime.ToString("MMM yyyy")).Select(grp => new PriceLog() { LogDateTime = Convert.ToDateTime(grp.Key), Price = (int)grp.Average(p => p.Price) }).ToList();

I have converted it to int because my Price field was int and Average method return double .I hope this will help


You should try it like this:

var result =
        from priceLog in PriceLogList
        group priceLog by priceLog.LogDateTime.ToString("MMM yyyy") into dateGroup
        select new {
            LogDateTime = dateGroup.Key,
            AvgPrice = dateGroup.Average(priceLog => priceLog.Price)
        };

Examples related to c#

How can I convert this one line of ActionScript to C#? Microsoft Advertising SDK doesn't deliverer ads How to use a global array in C#? How to correctly write async method? C# - insert values from file into two arrays Uploading into folder in FTP? Are these methods thread safe? dotnet ef not found in .NET Core 3 HTTP Error 500.30 - ANCM In-Process Start Failure Best way to "push" into C# array

Examples related to linq

Async await in linq select How to resolve Value cannot be null. Parameter name: source in linq? What does Include() do in LINQ? Selecting multiple columns with linq query and lambda expression System.Collections.Generic.List does not contain a definition for 'Select' lambda expression join multiple tables with select and where clause LINQ select one field from list of DTO objects to array The model backing the 'ApplicationDbContext' context has changed since the database was created Check if two lists are equal Why is this error, 'Sequence contains no elements', happening?

Examples related to group-by

SELECT list is not in GROUP BY clause and contains nonaggregated column .... incompatible with sql_mode=only_full_group_by Count unique values using pandas groupby Pandas group-by and sum Count unique values with pandas per groups Group dataframe and get sum AND count? Error related to only_full_group_by when executing a query in MySql Pandas sum by groupby, but exclude certain columns Using DISTINCT along with GROUP BY in SQL Server Python Pandas : group by in group by and average? How do I create a new column from the output of pandas groupby().sum()?