>>> website_bytes_gb2312 = website.encode(encoding="gb2312")>>>type(website_bytes_gb2312)<class'bytes'> >>>website_bytes_gb2312 b'http://www.jb51.net/'>>> 解码成string,默认不填 >>> website_string =website_bytes_utf8.decode()>>>type(website_string)<class'str'> >>>website...
#方法一:直接复制bytes类型 b'<str>'b = b'Hello World'print(type(b))print(b) #方法二:转换s ='Hello World'b= bytes(s,encoding='utf-8')print(type(b))print(b)#---bytes to string---s = str(b,encoding='utf-8')print(type(s))print(s)#---执行结果---<class'bytes'>b'Hello ...
@file : byte_to_string.py @ide : PyCharm @time : 2021-12-23 11:47:45 """# 不指定字符集 b1 = b'I love u , baby'print('b1', b1)print(b1[:-3])# 指定字符集 b2 = bytes('今天天⽓真好/哈哈', encoding='UTF-8')print('b2', b2)# 字符串转为bytes str1 = '元宇...
string_object = bytes_object.decode('utf-8') print(string_object) # 输出: Hello, world! print(type(string_object)) # 输出: <class 'str'> # 字符串对象转换为字节对象 string_object = 'Hello, world!' bytes_object = string_object.encode('utf-8') print(bytes_object) # 输出: b'Hello,...
(2)Python3中的string编码 python3也有两种数据类型:str和bytes。str类型存unicode数据,bytse类型存bytes数据,与py2比只是换了一下名字而已。 import json s='苑昊' print(type(s)) #<class 'str'> print(json.dumps(s)) # "\u82d1\u660a"
在Python 程序中,类变量在内部当做字典来处理,其遵循常被引用的方法解析顺序(MRO)。所以在上面的代码中,由于class C中的x属性没有找到,它会向上找它的基类(尽管Python 支持多重继承,但上面的例子中只有A)。换句话说,class C中没有它自己的x属性,其独立于A。因此,C.x事实上 是A.x的引用。
File"C:\Python32\lib\email\generator.py", line163,in_dispatch meth(msg) File"C:\Python32\lib\email\generator.py", line192,in_handle_textraiseTypeError('string payload expected: %s'%type(payload)) TypeError: string payload expected: <class'bytes'>...
# <class 'float'> False True print(type(True), bool(False), bool(True)) # <class 'bool'> False True 1. 2. 3. 4. 5. 6. 7. 8. bool作用在容器类型变量:X只要不是空的变量,bool(X)就是True,其余就是False。 print(type(''), bool(''), bool('python')) ...
classstr(object):"""str(object='')->strstr(bytes_or_buffer[,encoding[,errors]])->str Create anewstringobject from the given object.If encoding or errors is specified,then the object must expose a data buffer that will be decoded using the given encoding and error handler.Otherwise,returns...
<class 'pandas.core.frame.DataFrame'> RangeIndex: 3 entries, 0 to 2 Data columns (total 3 columns): # Column Non-Null Count Dtype --- --- --- --- 0 A 3 non-null int64 1 B 3 non-null object 2 C 3 non-null bool dtypes: bool(1), int64(1), object(1) memory usage: ...