Decimal fixed-point arithmetic

The module decimalfp provides a Decimal number type which can represent decimal numbers of arbitrary magnitude and arbitrary precision, i.e. any number of fractional digits.

## Usage

decimalfp.Decimal instances are created by giving a value (default: 0) and a precision (i.e the number of fractional digits, default: None).

If precision is given, it must be of type int and >= 0.

If value is given, it must either be a string (type str or unicode in Python 2.x, bytes or str in Python 3.x), an instance of number.Integral (for example int or long in Python 2.x, int in Python 3.x), number.Rational (for example fractions.Fraction), decimal.Decimal or float or be convertable to a float or an int.

If a string is given as value, it must be a string in one of two formats:

- [+|-]<int>[.<frac>][<e|E>[+|-]<exp>] or
- [+|-].<frac>[<e|E>[+|-]<exp>].

The value is always adjusted to the given precision or the precision is calculated from the given value, if no precision is given.

Decimal instances are immutable.

## Computations

When importing decimalfp, its Decimal type is registered in Pythons numerical stack as number.Rational. It supports all operations defined for that base class and its instances can be mixed in computations with instances of all numeric types mentioned above.

All numerical operations give an exact result, i.e. they are not automatically constraint to the precision of the operands or to a number of significant digits (like the floating-point Decimal type from the standard module decimal). Adding and subtracting give a result with a precision equal to the maximum of the precisions of the operands. Multiplying results have a precision equal to the sum of the precisions of the operands. For performance reasons, division tries to give an exact result as Decimal only up to a fixed limit of fractional digits. This limit defaults to 32 and is accessible as decimalfp.LIMIT_PREC. If the result can not be represented as a Decimal within this limit, a fractions.Fraction is returned.

Decimal supports rounding via the built-in function round using the same rounding mode as the float type by default (i.e. ROUND_HALF_UP in Pyhton 2.x and ROUND_HALF_EVEN in Python 3.x). In addition, via the method adjusted a Decimal with a different precision can be derived, supporting all rounding modes defined by the standard module decimal.

For more details see the documentation provided with the source distribution or here.

## Release History

## Download Files

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File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
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decimalfp-0.9.5.tar.gz (460.9 kB) Copy SHA256 Checksum SHA256 | – | Source | Nov 25, 2014 |