详解Python3 中的字符串格式化语法

yipeiwu_com5年前Python基础

一、旧式的字符串格式化

% 操作符

参考以下示例:

>>> name = "Eric"
>>> "Hello, %s." % name
'Hello, Eric.'

当有多个变量需要插入到字符串中时:

>>> name = "Eric"
>>> age = 74
>>> "Hello, %s. You are %s." % (name, age)
'Hello, Eric. You are 74.'

当需要替换的变量进一步增多时,使用 % 操作符格式化字符串会导致代码可读性变得很差:

>>> first_name = "Eric"
>>> last_name = "Idle"
>>> age = 74
>>> profession = "comedian"
>>> affiliation = "Monty Python"
>>> "Hello, %s %s. You are %s. You are a %s. You were a member of %s." % (first_name, last_name, age, profession, affiliation)
'Hello, Eric Idle. You are 74. You are a comedian. You were a member of Monty Python.'

str.format()

str.format() 是对 % 方式的改进,它使用常见的函数调用的语法,并且可以通过定义对象本身的 __format__() 方法控制字符串格式化的具体行为。

基本用法:

>>> name = "Eric"
>>> age = 74
>>> "Hello, {}. You are {}.".format(name, age)
'Hello, Eric. You are 74.'

str.format() 相对于 % 操作符有着更强的灵活性。比如可以通过数字索引来关联替换到字符串中的变量:

>>> name = "Eric"
>>> age = 74
>>> "Hello, {1}. You are {0}.".format(age, name)
'Hello, Eric. You are 74.'

为了提高代码可读性, {} 中也可以使用有具体含义的参数名:

>>> name = "Eric"
>>> age = 74
>>> "Hello, {name}. You are {age}".format(name=name, age=age)
'Hello, Eric. You are 74'

针对字典结构的数据:

>>> person = {'name': 'Eric', 'age': 74}
>>> "Hello, {name}. You are {age}.".format(name=person['name'], age=person['age'])
'Hello, Eric. You are 74.'

或者更简洁的方式:

>>> person = {'name': 'Eric', 'age': 74}
>>> "Hello, {name}. You are {age}.".format(**person)
'Hello, Eric. You are 74.'

问题在于当需要替换的变量很多时, str.format() 方式依然会导致代码变得过于冗长:

>>> first_name = "Eric"
>>> last_name = "Idle"
>>> age = 74
>>> profession = "comedian"
>>> affiliation = "Monty Python"
>>> "Hello, {first_name} {last_name}. You are {age}. \
 You are a {profession}. You were a member of {affiliation}."\
 .format(first_name=first_name, last_name=last_name, age=age, \
 profession=profession, affiliation=affiliation)
'Hello, Eric Idle. You are 74. You are a comedian. You were a member of Monty Python.'

二、f-string

基本用法

>>> name = "Eric"
>>> age = 74
>>> f"Hello, {name}. You are {age}."
'Hello, Eric. You are 74.'

嵌入表达式

>>> f"{2 * 37}"
'74'

>>> def to_lowercase(input):
...  return input.lower()
 
>>> name = "Eric Idle"
>>> f"{to_lowercase(name)} is funny"
'eric idle is funny'

>>> f"{name.lower()} is funny"
'eric idle is funny'

f-string 中还可以直接嵌入某个对象实例,只要其内部实现了 __str__ 或者 __repr__ 方法:

class Comedian:
 def __init__(self, first_name, last_name, age):
  self.first_name = first_name
  self.last_name = last_name
  self.age = age

 def __str__(self):
  return f"{self.first_name} {self.last_name} is {self.age}"


new_comedian = Comedian("Eric", "Idle", 74)
print(f"{new_comedian}")
# Eric Idle is 74
多行 f-string
>>> name = "Eric"
>>> profession = "comedian"
>>> affiliation = "Monty Python"
>>> message = (
...  f"Hi {name}. "
...  f"You are a {profession}. "
...  f"You were in {affiliation}."
... )
>>> message
'Hi Eric. You are a comedian. You were in Monty Python.'

总结

以上所述是小编给大家介绍的Python3 中的字符串格式化语法,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对【听图阁-专注于Python设计】网站的支持!
如果你觉得本文对你有帮助,欢迎转载,烦请注明出处,谢谢!

相关文章

python版本坑:md5例子(python2与python3中md5区别)

起步 对于一些字符,python2和python3的md5加密出来是不一样的. # python2.7 pwd = "xxx" + chr(163) + "fj" checkcode...

python基于三阶贝塞尔曲线的数据平滑算法

python基于三阶贝塞尔曲线的数据平滑算法

前言 很多文章在谈及曲线平滑的时候,习惯使用拟合的概念,我认为这是不恰当的。平滑后的曲线,一定经过原始的数据点,而拟合曲线,则不一定要经过原始数据点。 一般而言,需要平滑的数据分为两种:...

Django REST Framework序列化外键获取外键的值方法

需求:序列化外键,获取外键的除id之外的值 使用Django REST Framework虽然开发接口快速,但是如果想要获取到除外键id值之外的外键信息,直接继承serializers....

Python 合并多个TXT文件并统计词频的实现

Python 合并多个TXT文件并统计词频的实现

需求是:针对三篇英文文章进行分析,计算出现次数最多的 10 个单词 逻辑很清晰简单,不算难, 使用 python 读取多个 txt 文件,将文件的内容写入新的 txt 中,然后对新 tx...

Python进程间通信Queue消息队列用法分析

本文实例讲述了Python进程间通信Queue消息队列用法。分享给大家供大家参考,具体如下: 进程间通信-Queue Process之间有时需要通信,操作系统提供了很多机制来实现进程间的...