python float precision error
On a typical machine running Python, there are 53 bits of precision available for a Python float, so the value stored internally when you enter ...,The errors in Python float operations are inherited from the floating-point hardware, ... arithmetic and that every float operation can suffer a new rounding error. ,Note that this is in the very nature of binary floating-point: this is not a bug in Python, ... arithmetic and that every float operation can suffer a new rounding error. ,注意，這是二進位浮點數理所當然的特性，並不是Python 的錯誤(bug)，更不是您程式碼 ... arithmetic and that every float operation can suffer a new rounding error. , Floating-point numbers are represented in computer hardware as base 2 .... and that every float operation can suffer a new rounding error., Floating point arithmetic has built-in problems as it's based on a binary ... If your application is not tolerant of rounding errors within this margin ..., There is also the python Decimal class for fixed point arithmetic. ... But that doesn't mean you have to display the number to arbitrary precision. ... situation where you should use math.floor , floating-point error doesn't matter., This really has nothing to do with Python - you'd see the same behavior in ... binary floating ("double precision" in C) approximation to the exact decimal value 0.01. ... Controlling floating-point numeric errors is the field called ., if you need exact precision use the Decimal class from decimal import ... More information about Python float and floating point arithmetic - here.,and think it is a bug in Python. It's not. It's a problem caused by the internal representation of floating point numbers, which uses a fixed number of binary digits to represent a decimal number. Some decimal numbers can't be represented exac
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 python float precision error 相關參考資料
14. Floating Point Arithmetic: Issues and Limitations — Python 2.7.16 ...
On a typical machine running Python, there are 53 bits of precision available for a Python float, so the value stored internally when you enter ... https://docs.python.org 15. Floating Point Arithmetic: Issues and Limitations — Python 3.6.3 ...
The errors in Python float operations are inherited from the floating-point hardware, ... arithmetic and that every float operation can suffer a new rounding error. https://python.readthedocs.io 15. Floating Point Arithmetic: Issues and Limitations — Python 3.7.4 ...
Note that this is in the very nature of binary floating-point: this is not a bug in Python, ... arithmetic and that every float operation can suffer a new rounding error. https://docs.python.org 15. 浮點數運算：問題與限制— Python 3.7.4 說明文件
注意，這是二進位浮點數理所當然的特性，並不是Python 的錯誤(bug)，更不是您程式碼 ... arithmetic and that every float operation can suffer a new rounding error. https://docs.python.org Floating Point Arithmetic: Issues and Limitations — Python v3.0.1 ...
Floating-point numbers are represented in computer hardware as base 2 .... and that every float operation can suffer a new rounding error. https://docs.python.org floating point in python gives a wrong answer - Stack Overflow
Floating point arithmetic has built-in problems as it's based on a binary ... If your application is not tolerant of rounding errors within this margin ... https://stackoverflow.com How to avoid floating point arithmetics issues? - Stack Overflow
There is also the python Decimal class for fixed point arithmetic. ... But that doesn't mean you have to display the number to arbitrary precision. ... situation where you should use math.floor ,... https://stackoverflow.com How to avoid floating point errors? - Stack Overflow
This really has nothing to do with Python - you'd see the same behavior in ... binary floating ("double precision" in C) approximation to the exact decimal value 0.01. ... Controlling f... https://stackoverflow.com Python Float rounding errors - Stack Overflow
if you need exact precision use the Decimal class from decimal import ... More information about Python float and floating point arithmetic - here. https://stackoverflow.com Why are floating point calculations so inaccurate? - effbot.org
and think it is a bug in Python. It's not. It's a problem caused by the internal representation of floating point numbers, which uses a fixed number of binary digits to represent a decimal num... http://effbot.org |