Quickly master Python data type conversion functions

Quickly master the data type conversion function in Python, specific code examples are required

Python is an easy-to-learn and use programming language that provides rich data Type conversion functions can help us quickly convert between different data types. In this article, we will take a deep dive into data type conversion functions in Python and provide concrete code examples.

1. int() function: Convert a value or string to an integer.

Code example:

num_str = "123"
num_int = int(num_str)
print(num_int)  # 输出：123
print(type(num_int))  # 输出：<class 'int'>

2. float() function: Convert a value or string to a floating point type.

Code example:

num_str = "3.14"
num_float = float(num_str)
print(num_float)  # 输出：3.14
print(type(num_float))  # 输出：<class 'float'>

3. str() function: Convert other data types to string types.

Code example:

num_int = 123
num_str = str(num_int)
print(num_str)  # 输出："123"
print(type(num_str))  # 输出：<class 'str'>

4. list() function: Convert other data types to list types.

Code example:

num_str = "123"
num_list = list(num_str)
print(num_list)  # 输出：['1', '2', '3']
print(type(num_list))  # 输出：<class 'list'>

5. tuple() function: Convert other data types to tuple types.

Code example:

num_str = "123"
num_tuple = tuple(num_str)
print(num_tuple)  # 输出：('1', '2', '3')
print(type(num_tuple))  # 输出：<class 'tuple'>

6. set() function: Convert other data types to set types.

Code example:

num_list = [1, 2, 2, 3]
num_set = set(num_list)
print(num_set)  # 输出：{1, 2, 3}
print(type(num_set))  # 输出：<class 'set'>

7. dict() function: Convert other data types to dictionary types.

Code example:

num_list = [[1, '一'], [2, '二'], [3, '三']]
num_dict = dict(num_list)
print(num_dict)  # 输出：{1: '一', 2: '二', 3: '三'}
print(type(num_dict))  # 输出：<class 'dict'>

The above are the commonly used data type conversion functions in Python. By using these functions, we can flexibly convert between different data types. Mastering these functions will bring great convenience to your programming work. I hope the sample code in this article can help you better understand and use these functions.

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