Pivot Data Using LINQ
In data processing, pivoting refers to transforming data from a format with multiple columns and rows to a format with multiple rows and columns. Here's how you can perform data pivoting using LINQ:
Consider a collection of items containing an TypeCode enum and a User object. As described by the inquiry, you want to flatten the collection and present it in a grid-like structure, as shown in the sample data provided:
TypeCode | User |
---|---|
1 | Don Smith |
1 | Mike Jones |
1 | James Ray |
2 | Tom Rizzo |
2 | Alex Homes |
3 | Andy Bates |
The desired output would be:
1 | 2 | 3 |
---|---|---|
Don Smith | Tom Rizzo | Andy Bates |
Mike Jones | Alex Homes | |
James Ray |
LINQ Solution:
LINQ can efficiently handle this type of pivoting operation. Here's a code snippet that demonstrates how:
// Sample data var data = new[] { new { Foo = 1, Bar = "Don Smith"}, new { Foo = 1, Bar = "Mike Jones"}, new { Foo = 1, Bar = "James Ray"}, new { Foo = 2, Bar = "Tom Rizzo"}, new { Foo = 2, Bar = "Alex Homes"}, new { Foo = 3, Bar = "Andy Bates"}, }; // Group into columns and select rows per column var grps = from d in data group d by d.Foo into grp select new { Foo = grp.Key, Bars = grp.Select(d2 => d2.Bar).ToArray() }; // Find the total number of (data) rows int rows = grps.Max(grp => grp.Bars.Length); // Output columns foreach (var grp in grps) { Console.Write(grp.Foo + "\t"); } Console.WriteLine(); // Output data for (int i = 0; i <p><strong>Output:</strong></p><p>1 2 3<br>Don Smith Tom Rizzo Andy Bates<br>Mike Jones Alex Homes<br>James Ray</p><p>This LINQ solution effectively pivots the data into the desired format by grouping items with the same Foo value and then selecting the Bars (user names) per column. It calculates the maximum number of rows based on the entries in each column and generates the output in a well-structured table form.</p>
The above is the detailed content of How Can I Pivot Data Using LINQ?. For more information, please follow other related articles on the PHP Chinese website!

XML is used in C because it provides a convenient way to structure data, especially in configuration files, data storage and network communications. 1) Select the appropriate library, such as TinyXML, pugixml, RapidXML, and decide according to project needs. 2) Understand two ways of XML parsing and generation: DOM is suitable for frequent access and modification, and SAX is suitable for large files or streaming data. 3) When optimizing performance, TinyXML is suitable for small files, pugixml performs well in memory and speed, and RapidXML is excellent in processing large files.

The main differences between C# and C are memory management, polymorphism implementation and performance optimization. 1) C# uses a garbage collector to automatically manage memory, while C needs to be managed manually. 2) C# realizes polymorphism through interfaces and virtual methods, and C uses virtual functions and pure virtual functions. 3) The performance optimization of C# depends on structure and parallel programming, while C is implemented through inline functions and multithreading.

The DOM and SAX methods can be used to parse XML data in C. 1) DOM parsing loads XML into memory, suitable for small files, but may take up a lot of memory. 2) SAX parsing is event-driven and is suitable for large files, but cannot be accessed randomly. Choosing the right method and optimizing the code can improve efficiency.

C is widely used in the fields of game development, embedded systems, financial transactions and scientific computing, due to its high performance and flexibility. 1) In game development, C is used for efficient graphics rendering and real-time computing. 2) In embedded systems, C's memory management and hardware control capabilities make it the first choice. 3) In the field of financial transactions, C's high performance meets the needs of real-time computing. 4) In scientific computing, C's efficient algorithm implementation and data processing capabilities are fully reflected.

C is not dead, but has flourished in many key areas: 1) game development, 2) system programming, 3) high-performance computing, 4) browsers and network applications, C is still the mainstream choice, showing its strong vitality and application scenarios.

The main differences between C# and C are syntax, memory management and performance: 1) C# syntax is modern, supports lambda and LINQ, and C retains C features and supports templates. 2) C# automatically manages memory, C needs to be managed manually. 3) C performance is better than C#, but C# performance is also being optimized.

You can use the TinyXML, Pugixml, or libxml2 libraries to process XML data in C. 1) Parse XML files: Use DOM or SAX methods, DOM is suitable for small files, and SAX is suitable for large files. 2) Generate XML file: convert the data structure into XML format and write to the file. Through these steps, XML data can be effectively managed and manipulated.

Working with XML data structures in C can use the TinyXML or pugixml library. 1) Use the pugixml library to parse and generate XML files. 2) Handle complex nested XML elements, such as book information. 3) Optimize XML processing code, and it is recommended to use efficient libraries and streaming parsing. Through these steps, XML data can be processed efficiently.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SublimeText3 Chinese version
Chinese version, very easy to use

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
