PHP data type conversion, PHP data type_PHP tutorial
php data type conversion, php data type
PHP does not require (or does not support) explicit type definition in variable definition; the variable type is determined based on the context in which the variable is used. decided. In other words, if a string value is assigned to the variable var, var becomes a string. If you assign an integer value to var, it becomes an integer.
An example of PHP's automatic type conversion is the plus sign " ". If any operand is a floating point number, all operands are treated as floating point numbers, and the result is also a floating point number. Otherwise the operands are interpreted as integers and the result is also an integer. Note that this does not change the types of the operands themselves; only how the operands are evaluated and the type of the expression itself is changed.
Type casting
The allowed casts are:
- (int), (integer) - converted to integer
- (bool), (boolean) - Convert to boolean
- (float), (double), (real) - Convert to Float (float)
- (string) - Convert to string (string)
- (binary) - Convert to binary string (PHP 6)
- (array) - Convert to array (array)
- (object) - Convert to object (object)
- (unset) - Convert to NULL (PHP 5)
(binary) conversion will prefix the result with 'b', new in PHP 5.2.1.
Note that spaces and tabs are allowed within brackets
Convert string literals and variables to binary string:
<?php $binary = (binary)$string; $binary = b"binary string"; ?>
If you want to change the type of a variable, see settype();
settype — Set the type of variable
bool settype ( mixed $var , string $type )Set the type of variable var to type.
Possible values fortype are:
- "boolean" (or "bool" since PHP 4.2.0)
- "integer" (or "int" since PHP 4.2.0)
- "float" (only available after PHP 4.2.0, "double" used in older versions is now deprecated)
- "string"
- “array”
- "object"
- "null" (since PHP 4.2.0)
Returns TRUE on success, or FALSE on failure.
intval(), floatval(), strval(), these three functions can also be converted

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics

The combination of golangWebSocket and JSON: realizing data transmission and parsing In modern Web development, real-time data transmission is becoming more and more important. WebSocket is a protocol used to achieve two-way communication. Unlike the traditional HTTP request-response model, WebSocket allows the server to actively push data to the client. JSON (JavaScriptObjectNotation) is a lightweight format for data exchange that is concise and easy to read.

The Gson@Expose annotation can be used to mark whether a field is exposed (contained or not) for serialization or deserialization. The @Expose annotation can take two parameters, each parameter is a boolean value and can take the value true or false. In order for GSON to react to the @Expose annotation, we have to create a Gson instance using the GsonBuilder class and need to call the excludeFieldsWithoutExposeAnnotation() method, which configures Gson to exclude all fields without Expose annotation from serialization or deserialization. Syntax publicGsonBuilderexclud

MySQL5.7 and MySQL8.0 are two different MySQL database versions. There are some main differences between them: Performance improvements: MySQL8.0 has some performance improvements compared to MySQL5.7. These include better query optimizers, more efficient query execution plan generation, better indexing algorithms and parallel queries, etc. These improvements can improve query performance and overall system performance. JSON support: MySQL 8.0 introduces native support for JSON data type, including storage, query and indexing of JSON data. This makes processing and manipulating JSON data in MySQL more convenient and efficient. Transaction features: MySQL8.0 introduces some new transaction features, such as atomic

Performance optimization methods for converting PHP arrays to JSON include: using JSON extensions and the json_encode() function; adding the JSON_UNESCAPED_UNICODE option to avoid character escaping; using buffers to improve loop encoding performance; caching JSON encoding results; and considering using a third-party JSON encoding library.

How to handle XML and JSON data formats in C# development requires specific code examples. In modern software development, XML and JSON are two widely used data formats. XML (Extensible Markup Language) is a markup language used to store and transmit data, while JSON (JavaScript Object Notation) is a lightweight data exchange format. In C# development, we often need to process and operate XML and JSON data. This article will focus on how to use C# to process these two data formats, and attach

Use the json.MarshalIndent function in golang to convert the structure into a formatted JSON string. When writing programs in Golang, we often need to convert the structure into a JSON string. In this process, the json.MarshalIndent function can help us. Implement formatted output. Below we will explain in detail how to use this function and provide specific code examples. First, let's create a structure containing some data. The following is an indication

Annotations in the Jackson library control JSON serialization and deserialization: Serialization: @JsonIgnore: Ignore the property @JsonProperty: Specify the name @JsonGetter: Use the get method @JsonSetter: Use the set method Deserialization: @JsonIgnoreProperties: Ignore the property @ JsonProperty: Specify name @JsonCreator: Use constructor @JsonDeserialize: Custom logic

Quick Start: Pandas method of reading JSON files, specific code examples are required Introduction: In the field of data analysis and data science, Pandas is one of the important Python libraries. It provides rich functions and flexible data structures, and can easily process and analyze various data. In practical applications, we often encounter situations where we need to read JSON files. This article will introduce how to use Pandas to read JSON files, and attach specific code examples. 1. Installation of Pandas
