An in-depth study of the principles and methods of Python data type conversion functions

In-depth understanding of the principles and methods of Python data type conversion functions requires specific code examples

Python is a concise and powerful programming language that provides a wealth of Data types and flexible type conversion functions make data processing more convenient. In this article, we will delve into the principles and usage of data type conversion functions in Python, and provide some specific code examples.

The data type conversion functions in Python mainly include the following:

1. int() function: used to convert a number or string to an integer type.

Example 1:

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

Example 2:

num_float = 3.14
num_int = int(num_float)
print(type(num_int), num_int)  # 输出：<class 'int'> 3

2. float() function: used to convert a number or string to a floating point type .

Example 1:

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

Example 2:

num_int = 123
num_float = float(num_int)
print(type(num_float), num_float)  # 输出：<class 'float'> 123.0

3. str() function: used to convert an object to a string type.

Example 1:

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

Example 2:

num_float = 3.14
num_str = str(num_float)
print(type(num_str), num_str)  # 输出：<class 'str'> '3.14'

4. list() function: used to convert a sequence (such as string, tuple, collection, etc.) to list type.

Example 1:

str_seq = "Python"
list_seq = list(str_seq)
print(type(list_seq), list_seq)  # 输出：<class 'list'> ['P', 'y', 't', 'h', 'o', 'n']

Example 2:

tuple_seq = (1, 2, 3)
list_seq = list(tuple_seq)
print(type(list_seq), list_seq)  # 输出：<class 'list'> [1, 2, 3]

5. tuple() function: used to convert a sequence (such as list, string, set etc.) to a tuple type.

Example 1:

list_seq = [1, 2, 3]
tuple_seq = tuple(list_seq)
print(type(tuple_seq), tuple_seq)  # 输出：<class 'tuple'> (1, 2, 3)

Example 2:

set_seq = {1, 2, 3}
tuple_seq = tuple(set_seq)
print(type(tuple_seq), tuple_seq)  # 输出：<class 'tuple'> (1, 2, 3)

6. set() function: used to set a sequence (such as list, tuple, character string, etc.) to a collection type.

Example 1:

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

Example 2:

str_seq = "hello"
set_seq = set(str_seq)
print(type(set_seq), set_seq)  # 输出：<class 'set'> {'e', 'l', 'h', 'o'}

It should be noted that conversion between certain types may result in loss of precision or information in the data Lost, especially in conversions between numeric types. Therefore, when using data type conversion functions, you need to carefully consider possible data changes.

To summarize, Python provides data type conversion functions such as int(), float(), str(), list(), tuple() and set(), which can perform mutual conversion between different data types. Convert. These functions are very simple and easy to use. You only need to pass the object to be converted as a parameter to the corresponding function. In actual code development, we can choose appropriate data type conversion functions according to specific needs and scenarios to better process and operate data.

I hope this article will help you deeply understand the principles and methods of Python data type conversion functions. Through actual code examples, you can better master the usage skills of these functions, allowing you to process and transform data more flexibly. I wish you go further and further on the road of Python programming!

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