Common data conversion problems and solutions in Python

Common data conversion problems and solutions in Python

Introduction:
In Python programming, data conversion is a very common task. Whether it is from string to integer, from list to tuple, or from dictionary to JSON, data conversion is one of the problems we often encounter when processing data. This article describes some common data conversion problems and provides some solutions and specific code examples.

1. Convert string to integer or floating point number
   When we need to convert string type data to integer or floating point number, we can use the built-in functions int() and float(). The following is a sample code:

string_num = "100"
integer_num = int(string_num)
print(integer_num)  # 输出：100

string_num = "3.14"
float_num = float(string_num)
print(float_num)  # 输出：3.14

2. Convert integer or floating point number to string
   When we need to convert integer or floating point number type data to string, we can use Built-in function str(). The following is a sample code:

integer_num = 100
string_num = str(integer_num)
print(string_num)  # 输出："100"

float_num = 3.14
string_num = str(float_num)
print(string_num)  # 输出："3.14"

3. Convert list to tuple or set
   When we need to convert list type data to tuple or set, we can use the built-in function tuple() and set(). The following is a sample code:

list_data = [1, 2, 3, 4, 5]
tuple_data = tuple(list_data)
print(tuple_data)  # 输出：(1, 2, 3, 4, 5)

set_data = set(list_data)
print(set_data)  # 输出：{1, 2, 3, 4, 5}

4. Convert tuple to list
   When we need to convert tuple type data into a list, we can use the built-in function list(). The following is a sample code:

tuple_data = (1, 2, 3, 4, 5)
list_data = list(tuple_data)
print(list_data)  # 输出：[1, 2, 3, 4, 5]

5. Convert dictionary to JSON
   When we need to convert dictionary type data to JSON format, we can use dumps( in the built-in module json )function. The following is a sample code:

import json

dictionary_data = {
    "name": "John",
    "age": 25,
    "city": "New York"
}

json_data = json.dumps(dictionary_data)
print(json_data)  # 输出：{"name": "John", "age": 25, "city": "New York"}

Summary:
Python provides a wealth of built-in functions and modules to make data conversion simple and efficient. This article covers some common data conversion problems, including converting a string to an integer or float, converting an integer or float to a string, converting a list to a tuple or set, converting a tuple to a list, and converting a dictionary Convert to JSON format. By mastering these common data conversion problems and corresponding solutions, we can process and operate different types of data more flexibly and improve programming efficiency.

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