In Go language, data type conversion is usually performed using forced type conversion "type assertion". Common data type conversion methods are as follows: 1. When converting one integer value to another integer value, you can use Forced type conversion; 2. When converting a floating-point value to another floating-point value, you can also use forced type conversion; 3. When converting a string to another data type, you can use related functions in the standard library; 4. To convert a variable of an interface type into a variable of another concrete type, type assertions can be used.
# Operating system for this tutorial: Windows 10 system, Dell G3 computer.
In Go language, data type conversion is usually performed using forced type conversion (type assertion). The following are several common data type conversion methods:
When converting one integer value to another integer value, you can use forced type Convert. For example, convert a variable x of type int to a variable y of type int64:
var x int = 123 var y int64 = int64(x) // 将x转换为int64类型,并赋值给y
It should be noted that if the converted result exceeds the value range of the target type, an overflow error will occur.
When converting one floating point value to another floating point value, you can also use forced type conversion. For example, convert a float32 type variable
String conversionvar x float32 = 3.14 var y float64 = float64(x) // 将x转换为float64类型,并赋值给y
It should be noted that if the string cannot be converted to the target type, a parsing error will occur.
Type assertionimport "strconv" var s string = "123" x, err := strconv.Atoi(s) // 将s转换为int类型,并赋值给x
It should be noted that if the value stored in the interface type variable i is not the target type, a runtime error will occur. Therefore, when doing type assertions, it's better to use a form with a second return value, and error handling.
The above are several common data type conversion methods. You need to choose the appropriate method according to the specific situation. When performing data type conversion, be sure to pay attention to data accuracy, range, format and other issues to avoid unnecessary errors.
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