quantize(Decimal('1.'), rounding=ROUND_UP) Decimal('8') 如上所示,getcontext() 函数访问当前上下文并允许更改设置。 这种方法满足大多数应用程序的需求。 对于更高级的工作,使用 Context() 构造函数创建备用上下文可能很有用。 要使用备用活动,请使用 setcontext() 函数。 根据标准,decimal 模块提供了两个...
quantize(Decimal('1.'), rounding=ROUND_UP) Decimal('8') 如上所示,getcontext() 函数访问当前上下文并允许更改设置。 这种方法满足大多数应用程序的需求。 对于更高级的工作,使用 Context() 构造函数创建备用上下文可能很有用。 要使用备用活动,请使用 setcontext() 函数。 根据标准,decimal 模块提供了两个...
| S.isdecimal() -> bool | | Return True if there are only decimal characters in S, | False otherwise. 翻译:如果S中只有十进制字符,则返回True,否则为False。 isdigit(...) | S.isdigit() -> bool | | Return True if all characters in S are digits | and there is at least one charac...
only specify as blank when places is zero pos: optional sign for positive numbers: '+', space or blank neg: optional sign for negative numbers: '-', '(', space or blank trailneg:optional trailing minus indicator: '-', ')', space or blank >>> d = Decimal('-1234567.8901') >>> ...
The array module provides an array object that is like a list that stores only homogeneous data and stores it more compactly. The following example shows an array of numbers stored as two byte unsigned binary numbers (typecode "H") rather than the usual 16 bytes per entry for regular lists...
# 1. isidentifier 判断字符串是合法标识符s = 'hello, python'print('1.', s.isidentifier()) # Falseprint('2.', 'hello'.isidentifier()) # True# 2. isspase 判断字符串是否全部由空字符串组成(回车,换行,水平制表)print(' '.isspace())print('---')# 3. isalpha 判断是否全部由字符组成prin...
1. 2. 3. 4. 5. 6. 7. 8. def isdecimal(self): # real signature unknown; restored from __doc__ (检查字符串中是否只包含十进制字符) """ S.isdecimal() -> bool Return True if there are only decimal characters in S, False otherwise. """ return False 1. 2. 3. 4. 5. 6. ...
'I have eaten ' + 99 + ' burritos.' TypeError: can only concatenate str (not "int") to str 解决: 'I have eaten ' + '99' + ' burritos.' 或'I have eaten ' + str(99) + ' burritos.' 该表达式导致错误是因为, 99 是一个整数,只有字符串能用+操作符与其 他字符串连接。正确的方式...
print(ndarray.flags) # 输出: C_CONTIGUOUS : True F_CONTIGUOUS : False OWNDATA : True WRITEABLE : True ALIGNED : True WRITEBACKIFCOPY : False UPDATEIFCOPY : False # ndarray.shape 数组维度的元组。 print(ndarray.shape) # 输出: (3, 4) ...
There should be one-- and preferably only one --obvious way to do it. Although that way may not be obvious at first unless you're Dutch. Now is better than never. Although never is often better than *right* now. If the implementation is hard to explain, it's a bad idea. If the...