b = decimal.Decimal('1.234') # A PriorityQueue will return values sorted by precision, no matter # what order the threads finish. q = PriorityQueue() threads = [ Multiplier(a, b, i, q) for i in range(1, 6) ] for t in threads: t.start() for t in threads: t.join() for i ...
.keys()与.values()取出字典里的所有键或所有值 通过强制类型转换可以将输出的内容变成列表 Eg. list(dict1.keys()) dict1 = {'key1':'value1','key2':'value2'} print(dict1.keys()) print(dict1.values()) === dict_keys(['key1', 'key2']) dict_values(['value1', 'value2']) 1. ...
[python] view plain copy import decimal for value in [ 'Infinity', 'NaN', '0' ]: print decimal.Decimal(value), decimal.Decimal('-' + value) print # Math with infinity print 'Infinity + 1:', (decimal.Decimal('Infinity') + 1) print '-Infinity + 1:', (decimal.Decimal('-Infinity...
A. normalize() 方法可将所有相同的值映射为统一表示形式: >>>values = map(Decimal, '200 200.000 2E2 .02E+4'.split()) >>>[v.normalize() for v in values] [Decimal('2E+2'), Decimal('2E+2'), Decimal('2E+2'), Decimal('2E+2')] 1. 2. 3. Q. 有些十进制值总是被打印为指数表...
1 首先在PyCharm软件中，打开一个Python项目。2 在Python项目中，新建并打开一个空白的python文件（比如：test.py）。3 在python文件编辑区中，输入：“from decimal import *”，导入 decimal 模块中所有方法和类型。4 接着输入：“values = map(Decimal, '200 200.000 2E2 .02E+4'.split())”...
in set (0.00 sec) mysql> insert into decimal_tb (col2) values (12.2300); Query OK, 1 row affected (0.01 sec) # 变量范围测试 # 结论:M范围是1到65,D范围是0到30,且D不大于M mysql> alter table decimal_tb add column col3 decimal(6,6); Query OK, 0 rows affected (0.12 sec) ...
normalize() for v in values] [Decimal('2E+2'), Decimal('2E+2'), Decimal('2E+2'), Decimal('2E+2')] Q. 有些十进制值总是被打印为指数表示形式。 是否有办法得到一个非指数表示形式?A. 对于某些值来说,指数表示形式是表示系数中有效位的唯一办法。 例如,将 5.0E+3 表示为 5000 可以让值...
In the last program, there were 25 decimal places in the answer now. But what if we only wanted up to three places of decimal values? This can be controlled as well. Here, we will control the precision of the answer which will not reflect in other operations in our program: ...
The example compares the precision of two floating point types in Python. $ ./defprec.py <class 'float'> 0.3333333333333333 --- <class 'decimal.Decimal'> 0.3333333333333333333333333333 Python compare floating point values Caution should be exercised when...
# A PriorityQueue will return values sorted by precision, no matter # what order the threads finish. q = PriorityQueue() threads = [ Multiplier(a, b, i, q) for i in range(1, 6) ] for t in threads: t.start() for t in threads: t.join() for i in range(5): pr...