decimal --- Decimal fixed-point and floating-point arithmetic — Quick-start tutorial
The usual start to using decimals is importing the module, viewing the current context with getcontext and, if necessary, setting new values for precision, rounding, or enabled traps >>> from decimal import >>> getcontext() Context(prec=28, rounding=ROUND_HALF_EVEN, Emin=-999999, Emax=999999, capita
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The usual start to using decimals is importing the module, viewing the current context with getcontext and, if necessary, setting new values for precision, rounding, or enabled traps
>>> from decimal import >>> getcontext() Context(prec=28, rounding=ROUND_HALF_EVEN, Emin=-999999, Emax=999999, capitals=1, clamp=0, flags=[], traps=[Overflow, DivisionByZero, InvalidOperation])
>>> getcontext().prec = 7 # Set a new precision
Decimal instances can be constructed from integers, strings, floats, or tuples. Construction from an integer or a float performs an exact conversion of the value of that integer or float. Decimal numbers include special values such as NaN which stands for "Not a number", positive and negative Infinity, and -0
>>> getcontext().prec = 28 >>> Decimal(10) Decimal('10') >>> Decimal('3.14') Decimal('3.14') >>> Decimal(3.14) Decimal('3.140000000000000124344978758017532527446746826171875') >>> Decimal((0, (3, 1, 4), -2)) Decimal('3.14') >>> Decimal(str(2.0 0.5)) Decimal('1.4142135623730951') >>> Decimal(2) Decimal('0.5') Decimal('1.414213562373095048801688724') >>> Decimal('NaN') Decimal('NaN') >>> Decimal('-Infinity') Decimal('-Infinity')
If the FloatOperation signal is trapped, accidental mixing of decimals and floats in constructors or ordering comparisons raises an exception
>>> c = getcontext() >>> c.traps[FloatOperation] = True >>> Decimal(3.14) Traceback (most recent call last): File "", line 1, in decimal.FloatOperation: [] >>> Decimal('3.5') ", line 1, in decimal.FloatOperation: [] >>> Decimal('3.5') == 3.5 True
The significance of a new Decimal is determined solely by the number of digits input. Context precision and rounding only come into play during arithmetic operations.
>>> getcontext().prec = 6 >>> Decimal('3.0') Decimal('3.0') >>> Decimal('3.1415926535') Decimal('3.1415926535') >>> Decimal('3.1415926535') + Decimal('2.7182818285') Decimal('5.85987') >>> getcontext().rounding = ROUND_UP >>> Decimal('3.1415926535') + Decimal('2.7182818285') Decimal('5.85988')
If the internal limits of the C version are exceeded, constructing a decimal raises InvalidOperation
>>> Decimal("1e9999999999999999999") Traceback (most recent call last): File "", line 1, in decimal.InvalidOperation: []
Decimals interact well with much of the rest of Python. Here is a small decimal floating-point flying circus
options: +NORMALIZE_WHITESPACE …
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Python Documentation — Doc/library/decimal.rst :: Quick-start tutorial ↗Revision f10166035d60 · PSF-2.0 and attribution