Home > Python Cannot > Python Cannot Convert Float To Decimal# Python Cannot Convert Float To Decimal

## Python Decimal Quantize

## Django Decimalfield

## If x is negative then y must be integral.

## Contents |

ln([context])¶ Return **the natural (base e) logarithm of** the operand. You signed out in another tab or window. You signed in with another tab or window. In earlier versions x < y returned the same (arbitrary) result for any Decimal instance x and any float instance y. check over here

What crime would be illegal to uncover in medieval Europe? is_infinite(x)¶ Returns True if x is infinite; otherwise returns False. more stack exchange communities company blog Stack Exchange Inbox Reputation and Badges sign up log in tour help Tour Start here for a quick overview of the site Help Center Detailed Do the Leaves of Lórien brooches have any special significance or attributes? http://stackoverflow.com/questions/8000318/conversion-from-float-to-decimal-in-python-2-6-how-to-do-it-and-why-they-didnt

logical_and(other, context=None)¶ logical_and() is a logical operation which takes two logical operands (see Logical operands). As stated in the docs: Note Decimal.from_float(0.1) is not the same as Decimal('0.1'). That is, if neither operand is a signaling NaN then any quiet NaN operand is treated as though it were a signaling NaN. max_mag(x, y)¶ Compares the values numerically with their sign ignored.

Included **for compatibility** with the specification. New in version 2.6. After checking the flags, be sure to clear all flags before starting the next computation. more hot questions question feed lang-py about us tour help blog chat data legal privacy policy work here advertising info mobile contact us feedback Technology Life / Arts Culture / Recreation

Help understanding these cake puns from a CNN Student News video more hot questions question feed lang-py about us tour help blog chat data legal privacy policy work here advertising info Django Decimalfield is_infinite(x)¶ Returns True if x is infinite; otherwise returns False. To preserve significance, the coefficient digits do not truncate trailing zeros. http://stackoverflow.com/questions/16080952/django-cannot-convert-float-to-decimal-first-convert-the-float-to-a-string If value is a string, it should conform to the decimal numeric string syntax after leading and trailing whitespace characters are removed: sign ::= '+' | '-' digit ::= '0' |

To preserve significance, the coefficient digits do not truncate trailing zeros. to_eng_string([context])¶ Convert to a string, using engineering notation if an exponent is needed. min_mag(other, context=None)¶ Similar to the min() method, but the comparison is done using the absolute values of the operands. HTTPS Learn more about clone URLs Download ZIP Code Revisions 2 So, converting a float to a decimal yields a TypeError.

The to_integral name has been kept for compatibility with older versions. https://gist.github.com/1262787 The flags remain set until explicitly cleared, so it is best to clear the flags before each set of monitored computations by using the clear_flags() method. >>> setcontext(ExtendedContext) >>> getcontext().clear_flags() Python Decimal Quantize This variety of NaN is quiet and, once created, will flow through other computations always resulting in another NaN. Python Version New in version 2.6.

If the context's trap enabler is set for the signal, then the condition causes a Python exception to be raised. http://amigasuperbit.com/python-cannot/python-cannot-marshal-objects.html I traced > it down to an issue with decimal.Decimal being passed a value of 0.0. > It 2.6 this is fine, but in 2.7 it throws an exception: > > Generally, new contexts should only set traps and leave the flags clear. For example, 0/0 returns NaN which means "not a number".

decimal.ROUND_DOWN¶ Round towards zero. Skip to content Ignore Learn more Please note that GitHub no longer supports old versions of Firefox. Typically, clamping occurs when an exponent falls outside the context's Emin and Emax limits. this content Signals¶ Signals represent conditions that arise during computation.

class decimal.Context(prec=None, rounding=None, traps=None, flags=None, Emin=None, Emax=None, capitals=1)¶ Creates a new context. For example, if the DivisionByZero trap is set, then a DivisionByZero exception is raised upon encountering the condition. is_subnormal(x)¶ Returns True if x is subnormal; otherwise returns False.

This method is useful for monetary applications that often round results to a fixed number of places: >>> Decimal('7.325').quantize(Decimal('.01'), rounding=ROUND_DOWN) Decimal('7.32') >>> Decimal('7.325').quantize(Decimal('1.'), rounding=ROUND_UP) Decimal('8') As shown above, the getcontext() Occurs when an operation result is subnormal (the exponent is too small). Can occur with division, modulo division, or when raising a number to a negative power. compare_signal(x, y)¶ Compares the values of the two operands numerically.

Floating Point Notes¶ 9.4.7.1. conjugate()¶ Just returns self, this method is only to comply with the Decimal Specification. If the second operand is positive then the shift is to the left; otherwise the shift is to the right. http://amigasuperbit.com/python-cannot/python-cannot-import-name-calendar.html copy_sign(other, context=None)¶ Return a copy of the first operand with the sign set to be the same as the sign of the second operand.

Return self*other+third with no rounding of the intermediate product self*other. >>> Decimal(2).fma(3, 5) Decimal('11') New in version 2.6. next_toward(other, context=None)¶ If the two operands are unequal, return the number closest to the first operand in the direction of the second operand. An error is returned whenever the resulting exponent is greater than Emax or less than Etiny. If Python is compiled without threads, the C version automatically disables the expensive thread local context machinery.

First convert the float to a string > > This is easy enough to deal with, but I find it odd. The result is the digit-wise inversion of the operand. max(x, y)¶ Compares two values numerically and returns the maximum. abs(x)¶ Returns the absolute value of x.

is_normal(context=None)¶ Return True if the argument is a normal finite number.