问题:以某种对齐方式将文本做格式化处理

解决方案:

1、针对字符串:ljust()、rjust()、center()方法

2、针对任何值,更加通用的:format()  更多内容:https://docs.python.org/3/library/string.html#formatspec

>>> text='Hello World'
>>> text.ljust(20)
'Hello World '
>>> text.rjust(20)
' Hello World'
>>> text.center(20)
' Hello World '
>>> text.ljust(20,'=')
'Hello World========='
>>> text.rjust(20,'*')
'*********Hello World'
>>> text.center(20,'+')
'++++Hello World+++++'
>>>

format():

格式限定符

它有着丰富的的“格式限定符”(语法是{}中带:号),比如:

填充与对齐
填充常跟对齐一起使用
^、<、>分别是居中、左对齐、右对齐,后面带宽度
:号后面带填充的字符,只能是一个字符,不指定的话默认是用空格填充

精度与类型f
精度常跟类型f一起使用

其他类型
主要就是进制了,b、d、o、x分别是二进制、十进制、八进制、十六进制。

用,号还能用来做金额的千位分隔符。

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" 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" alt="" />

>>> format(text,'>20')
' Hello World'
>>> format(text,'<20')
'Hello World '
>>> format(text,'^20')
' Hello World '
>>> format(text,'*>20') #空格外的其他填充字符可以在对齐字符之前指定
'*********Hello World'
>>> format(text,'=<20')
'Hello World========='
>>> format(text,'%^20')
'%%%%Hello World%%%%%'
>>> #当格式化多个值时,格式化代码代码可以用在format()方法中
>>> '{:>10} {:>10}'.format('Hello','World')
' Hello World'
>>> '{:>10} {:%^10}'.format('Hello','World')
' Hello %%World%%%'
>>> '{:#<10} {:%^10}'.format('Hello','World')
'Hello##### %%World%%%' >>> '{:<20}'.format('Hello World')
'Hello World '
>>> '{:*<20}'.format('Hello World')
'Hello World*********'
>>> '{:^20}'.format('Hello World')
' Hello World '
>>>

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