


A .NET library for technical solutions to CSV files: CsvHelper Chinese documentation
CsvHelper is a .NET library for reading and writing CSV files. CsvHelper can be downloaded through Visual Studio's package manager. Automatic mapping definition: When no mapping file is provided, the default is automatic mapping, and automatic mapping will be mapped to the attributes of the class in order.
GitHub address
Read
Read all records
var csv = new CsvReader( textReader ); var records = csv.GetRecords<MyClass>(); // 把 CSV 记录映射到 MyClass,返回的 records 是个 IEnumerable<T> 对象
If you want to customize the mapping relationship, you can see the mapping section below.
Since records is an IEnumerable
var csv = new CsvReader( textReader ); var records = csv.GetRecords<MyClass>().ToList();
Manually read records
You can read the data of each row in a row loop
var csv = new CsvReader( textReader ); while( csv.Read() ) { var record = csv.GetRecord<MyClass>(); }
Read individually The field
var csv = new CsvReader( textReader ); while( csv.Read() ) { var intField = csv.GetField<int>( 0 ); var stringField = csv.GetField<string>( 1 ); var boolField = csv.GetField<bool>( "HeaderName" ); }
If the read type may be different from expected, you can use TryGetField
var csv = new CsvReader( textReader ); while( csv.Read() ) { int intField; if( !csv.TryGetField( 0, out intField ) ) { // Do something when it can't convert. } }
parse
If you want each line to be returned as a string, you can use CsvParser .
var parser = new CsvParser( textReader ); while( true ) { var row = parser.Read(); // row 是个字符串 if( row == null ) { break; } }
Write
Write all records
var csv = new CsvWriter( textWriter ); csv.WriteRecords( records );
var csv = new CsvWriter( textWriter ); foreach( var item in list ) { csv.WriteRecord( item ); }
var csv = new CsvWriter( textWriter ); foreach( var item in list ) { csv.WriteField( "a" ); csv.WriteField( 2 ); csv.WriteField( true ); csv.NextRecord(); }
Mapping
Automatic mapping
If no mapping file is provided, the default For automatic mapping, automatic mapping will be mapped to the attributes of the class in order. If the attribute is a custom class, it will continue to be filled in according to the attributes of this custom class. If a circular reference occurs, automatic mapping stops.
Manual Mapping
If the CSV file and the custom class do not exactly match, you can define a matching class to handle it.
public sealed class MyClassMap : CsvClassMap<MyClass> { public MyClassMap() { Map( m => m.Id ); Map( m = > m.Name ); } }
This article is translated by tangyikejun
Reference mapping
If the attribute is a custom class that corresponds to multiple columns of the CSV file, you can use reference mapping.
public sealed class PersonMap : CsvClassMap<Person> { public PersonMap() { Map( m => m.Id ); Map( m => m.Name ); References<AddressMap>( m => m.Address ); } } public sealed class AddressMap : CsvClassMap<Address> { public AddressMap() { Map( m => m.Street ); Map( m => m.City ); Map( m => m.State ); Map( m => m.Zip ); } }
Subscript specification
You can specify mapping by column subscript
public sealed class MyClassMap : CsvClassMap<MyClass> { public MyClassMap() { Map( m => m.Id ).Index( 0 ); Map( m => m.Name ).Index( 1 ); } }
Column name specification
You can also specify mapping by column name, which requires csv The file has a header record, which means that the first line records the column name
public sealed class MyClassMap : CsvClassMap<MyClass> { public MyClassMap() { Map( m => m.Id ).Name( "The Id Column" ); Map( m => m.Name ).Name( "The Name Column" ); } }
Same name processing
public sealed class MyClassMap : CsvClassMap<MyClass> { public MyClassMap() { Map( m => m.FirstName ).Name( "Name" ).NameIndex( 0 ); Map( m => m.LastName ).Name( "Name" ).NameIndex( 1 ); } }
Default value
public sealed class MyClassMap : CsvClassMap<MyClass> { public override void MyClassMap() { Map( m => m.Id ).Index( 0 ).Default( -1 ); Map( m => m.Name ).Index( 1 ).Default( "Unknown" ); } }
Type conversion
public sealed class MyClassMap : CsvClassMap<MyClass> { public MyClassMap() { Map( m => m.Id ).Index( 0 ).TypeConverter<MyIdConverter>(); } }
can Optional type conversion
The default converter will handle most type conversions, but sometimes we may need to make some small changes. At this time, we can try to use optional type conversion.
public sealed class MyClassMap : CsvClassMap<MyClass> { public MyClassMap() { Map( m => m.Description ).Index( 0 ).TypeConverterOption( CultureInfo.InvariantCulture ); // Map( m => m.TimeStamp ).Index( 1 ).TypeConverterOption( DateTimeStyles.AdjustToUniversal ); // 时间格式转换 Map( m => m.Cost ).Index( 2 ).TypeConverterOption( NumberStyles.Currency ); // 数值类型转换 Map( m => m.CurrencyFormat ).Index( 3 ).TypeConverterOption( "C" ); Map( m => m.BooleanValue ).Index( 4 ).TypeConverterOption( true, "sure" ).TypeConverterOption( false, "nope" ); // 内容转换 } }
ConvertUsing
public sealed class MyClassMap : CsvClassMap<MyClass> { public MyClassMap() { // 常数 Map( m => m.Constant ).ConvertUsing( row => 3 ); // 把两列聚合在一起 Map( m => m.Aggregate ).ConvertUsing( row => row.GetField<int>( 0 ) + row.GetField<int>( 1 ) ); // Collection with a single value. Map( m => m.Names ).ConvertUsing( row => new List<string>{ row.GetField<string>( "Name" ) } ); // Just about anything. Map( m => m.Anything ).ConvertUsing( row => { // You can do anything you want in a block. // Just make sure to return the same type as the property. } ); } }
Runtime Mapping
Mappings can be created at runtime.
var customerMap = new DefaultCsvClassMap(); // mapping holds the Property - csv column mapping foreach( string key in mapping.Keys ) { var columnName = mapping[key].ToString(); if( !String.IsNullOrEmpty( columnName ) ) { var propertyInfo = typeof( Customer ).GetType().GetProperty( key ); var newMap = new CsvPropertyMap( propertyInfo ); newMap.Name( columnName ); customerMap.PropertyMaps.Add( newMap ); } } csv.Configuration.RegisterClassMap(CustomerMap);
This article was translated by tangyikejun
Configuration
Allow comments
// Default value csv.Configuration.AllowComments = false;
Automapping
var generatedMap = csv.Configuration.AutoMap<MyClass>();
Cache
TextReader Or the cache of reading and writing in TextWriter
// Default value csv.Configuration.BufferSize = 2048;
Comment
The commented out line will not be loaded in
// Default value csv.Configuration.Comment = '#';
Byte count
Record the current read How many bytes have been retrieved? Configuration.Encoding needs to be set to be consistent with the CSV file. This setting will affect the speed of parsing.
// Default value csv.Configuration.CountBytes = false;
Culture information
// Default value csv.Configuration.CultureInfo = CultureInfo.CurrentCulture;
Separator
// Default value csv.Configuration.Delimiter = ",";
Column number change
If turned on, a CsvBadDataException will be thrown if the column number changes
// Default value csv.Configuration.DetectColumnCountChanges = false;
Encoding
// Default value csv.Configuration.Encoding = Encoding.UTF8;
Whether there is a header record
// Default value csv.Configuration.HasHeaderRecord = true;
Ignore spaces in column names
Whether spaces in column names are ignored
// Default value csv.Configuration.IgnoreHeaderWhiteSpace = false;
Ignore private access
Whether to ignore private accessors when reading and writing
// Default value csv.Configuration.IgnorePrivateAccessor = false;
Ignore read exceptions
Continue reading after an exception occurs during reading
// Default value csv.Configuration.IgnoreReadingExceptions = false;
Ignore quotation marks
Do not use quotes as escape characters
// Default value csv.Configuration.IgnoreQuotes = false;
Whether column names are case-sensitive
// Default value csv.Configuration.IsHeaderCaseSensitive = true;
Map access
You can access custom class mappings
var myMap = csv.Configuration.Maps[typeof( MyClass )];
Attribute binding tag
Used to find attributes of custom classes
// Default value csv.Configuration.PropertyBindingFlags = BindingFlags.Public | BindingFlags.Instance;
This article was translated by tang yi ke jun
Quote
Define the escape character used to escape delimiters, brackets or line endings
// Default value csv.Configuration.Quote = '"';
Quotation marks for all fields
Whether to quote all fields when writing to csv. QuoteAllFields and QuoteNoFields cannot be true at the same time.
// Default value csv.Configuration.QuoteAllFields = false;
All fields are not quoted
QuoteAllFields and QuoteNoFields cannot be true at the same time.
// Default value csv.Configuration.QuoteNoFields = false;
Read exception callback
csv.Configuration.ReadingExceptionCallback = ( ex, row ) => { // Log the exception and current row information. };
Register class mapping
If class mapping is used, it needs to be registered before it will be actually used.
csv.Configuration.RegisterClassMap<MyClassMap>(); csv.Configuration.RegisterClassMap<AnotherClassMap>();
Skip blank records
If all fields are empty, they will be considered empty fields
// Default value csv.Configuration.SkipEmptyRecords = false;
Trim fields
Put the field content Trailing whitespace characters are deleted.
// Default value csv.Configuration.TrimFields = false;
Trim column name
// Default value csv.Configuration.TrimHeaders = false;
Unbinding class mapping
// Unregister single map. csv.Configuration.UnregisterClassMap<MyClassMap>(); // Unregister all class maps. csv.Configuration.UnregisterClassMap();
Whether an empty field throws an exception
// Default value csv.Configuration.WillThrowOnMissingField = true;
Type conversion
Type Conversions are CsvHelper's way of converting strings to .NET types (and vice versa).
Others
View exception information
Exception.Data["CsvHelper"] // Row: '3' (1 based) // Type: 'CsvHelper.Tests.CsvReaderTests+TestBoolean' // Field Index: '0' (0 based) // Field Name: 'BoolColumn' // Field Value: 'two'
DataReader and DataTable
DataReader object is written to CSV
var hasHeaderBeenWritten = false; while( dataReader.Read() ) { if( !hasHeaderBeenWritten ) { for( var i = 0; i < dataReader.FieldCount; i++ ) { csv.WriteField( dataReader.GetName( i ) ); } csv.NextRecord(); hasHeaderBeenWritten = true; } for( var i = 0; i < dataReader.FieldCount; i++ ) { csv.WriteField( dataReader[i] ); } csv.NextRecord(); }
DataTable object is written to CSV
using( var dt = new DataTable() ) { dt.Load( dataReader ); foreach( DataColumn column in dt.Columns ) { csv.WriteField( column.ColumnName ); } csv.NextRecord(); foreach( DataRow row in dt.Rows ) { for( var i = 0; i < dt.Columns.Count; i++ ) { csv.WriteField( row[i] ); } csv.NextRecord(); } }
CSV to DataTable
while( csv.Read() ) { var row = dt.NewRow(); foreach( DataColumn column in dt.Columns ) { row[column.ColumnName] = csv.GetField( column.DataType, column.ColumnName ); } dt.Rows.Add( row ); }
Related articles:
jQuery EasyUI API Chinese Documentation - Documentation Documentation_jquery
Related videos:
The above is the detailed content of A .NET library for technical solutions to CSV files: CsvHelper Chinese documentation. For more information, please follow other related articles on the PHP Chinese website!

C# and .NET are suitable for web, desktop and mobile development. 1) In web development, ASP.NETCore supports cross-platform development. 2) Desktop development uses WPF and WinForms, which are suitable for different needs. 3) Mobile development realizes cross-platform applications through Xamarin.

The C#.NET ecosystem provides rich frameworks and libraries to help developers build applications efficiently. 1.ASP.NETCore is used to build high-performance web applications, 2.EntityFrameworkCore is used for database operations. By understanding the use and best practices of these tools, developers can improve the quality and performance of their applications.

How to deploy a C# .NET app to Azure or AWS? The answer is to use AzureAppService and AWSElasticBeanstalk. 1. On Azure, automate deployment using AzureAppService and AzurePipelines. 2. On AWS, use Amazon ElasticBeanstalk and AWSLambda to implement deployment and serverless compute.

The combination of C# and .NET provides developers with a powerful programming environment. 1) C# supports polymorphism and asynchronous programming, 2) .NET provides cross-platform capabilities and concurrent processing mechanisms, which makes them widely used in desktop, web and mobile application development.

.NETFramework is a software framework, and C# is a programming language. 1..NETFramework provides libraries and services, supporting desktop, web and mobile application development. 2.C# is designed for .NETFramework and supports modern programming functions. 3..NETFramework manages code execution through CLR, and the C# code is compiled into IL and runs by CLR. 4. Use .NETFramework to quickly develop applications, and C# provides advanced functions such as LINQ. 5. Common errors include type conversion and asynchronous programming deadlocks. VisualStudio tools are required for debugging.

C# is a modern, object-oriented programming language developed by Microsoft, and .NET is a development framework provided by Microsoft. C# combines the performance of C and the simplicity of Java, and is suitable for building various applications. The .NET framework supports multiple languages, provides garbage collection mechanisms, and simplifies memory management.

C# and .NET runtime work closely together to empower developers to efficient, powerful and cross-platform development capabilities. 1) C# is a type-safe and object-oriented programming language designed to integrate seamlessly with the .NET framework. 2) The .NET runtime manages the execution of C# code, provides garbage collection, type safety and other services, and ensures efficient and cross-platform operation.

To start C#.NET development, you need to: 1. Understand the basic knowledge of C# and the core concepts of the .NET framework; 2. Master the basic concepts of variables, data types, control structures, functions and classes; 3. Learn advanced features of C#, such as LINQ and asynchronous programming; 4. Be familiar with debugging techniques and performance optimization methods for common errors. With these steps, you can gradually penetrate the world of C#.NET and write efficient applications.


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

Dreamweaver Mac version
Visual web development tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Dreamweaver CS6
Visual web development tools
