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Скачать или смотреть How to Solve Your CSV Mapping Problems Using CsvHelper

  • vlogize
  • 2025-03-30
  • 1
How to Solve Your CSV Mapping Problems Using CsvHelper
How to solve problem with CSV Mapping using CsvHelperc#csvcsvhelper
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Описание к видео How to Solve Your CSV Mapping Problems Using CsvHelper

Learn how to efficiently map your CSV data with Prices from multiple shops using the CsvHelper library in C-.
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This video is based on the question https://stackoverflow.com/q/70065548/ asked by the user 'Jimmy' ( https://stackoverflow.com/u/12590667/ ) and on the answer https://stackoverflow.com/a/70067689/ provided by the user 'David Specht' ( https://stackoverflow.com/u/2355006/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to solve problem with CSV Mapping using CsvHelper

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Unlocking the Power of CSV Mapping with CsvHelper

CSV files are a common format for storing data, but when it comes to reading and processing them, things can get a bit complicated—especially when the structure isn't straightforward. If you’ve found yourself wrestling with a CSV file containing multiple fields and wondering how to map them correctly in C-, you’re not alone. Let’s dive into how to solve this issue with the help of the CsvHelper library.

The Problem

Imagine you have a CSV file structured like this:

[[See Video to Reveal this Text or Code Snippet]]

In this file:

ArticleNumber represents the identification number of a product.

Shop1, Shop2, ..., Shop7 contain prices corresponding to the product from different shops.

Your goal is to read this CSV file and transform it into a format that’s much easier to work with, such as:

ArticleNumberShopPrice123455Shop150123455Shop251123455Shop352123455Shop453123455Shop554123455Shop655123455Shop756The Solution

To achieve the transformation of your CSV data, we can utilize the CsvHelper library, which simplifies reading and writing CSV files in C-. Below, we will break down the code implementation that helps you map the data correctly.

Step 1: Setting Up the Environment

Begin by setting up your project with CsvHelper. If you haven't installed it yet, you can do so via NuGet Package Manager:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Define Your Classes

Now you need to define your classes that will hold the mapped data. You will create an Article class to represent the structure of your CSV data and an ArticleShop class to represent the desired output format.

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Create the Mapping Configuration

Next, you will map the fields from the CSV file to the properties of the Article class. A class map defines how to map the CSV fields into the corresponding properties of your class.

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Reading the CSV File

Now, let’s write the code to read the CSV data and transform it into the desired output format.

[[See Video to Reveal this Text or Code Snippet]]

Step 5: Execute the Code

Run the above Main method, and you will turn your initial CSV structure into a flat structure where each shop price corresponds to a separate row in a new format. This final list can be used for further processing or storing in a database.

Conclusion

Working with CSV files can be challenging, especially when the data structure is complex. However, with the CsvHelper library and a bit of code organization, you can smoothly map and restructure your CSV data. This guide should have equipped you with the knowledge to tackle similar CSV transformations confidently.

Now, you are ready to dive into CSV processing while leaving behind any confusion about mapping fields. Happy coding!

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