python 2 decimal places
print(format(432.456, ".2f"))
>> 432.45
print(format(321,".2f"))
>> 321.00python 2 decimal places
print(format(432.456, ".2f"))
>> 432.45
print(format(321,".2f"))
>> 321.00printing with format float to 2 decimal places python
formatted_float = "{:.2f}".format(a_float)python 2 decimal places format
>>> foobar = 3.141592
>>> print(f'My number is {foobar:.2f} - look at the nice rounding!')
My number is 3.14 - look at the nice rounding!python decimal()
Decimal is a python library that allows for more precise decimals, without a
large amount of floating point errors.
from decimal import *
getcontext().prec = n
The above line let''s you change the precision of the decimal.
i.e.
getcontext().prec = 6
print(Decimal(1) / Decimal(7))
Decimal('0.142857')
You can see that it has 6 digits of prescision.
There are useful functions,
.log10
.sqrt
.exp
.ln
First, Decimal(x).log10 returns log10(x).
I.e.
print(Decimal(100).log10)
2
Then, Decimal(x).sqrt returns the square root of a number (duh).
Returns the square root of a number
getcontext().prec = 28
Decimal(2).sqrt()
Decimal('1.414213562373095048801688724')
Then .exp is the natural anti-lograthm (natural lograthm is loge(x), where is
e is Euler''s (say Oiler''s) constant, or 2.718...
Since exponentiation is the opposite of lograthms,
Decimal(x).exp = e**x
getcontext().prec = 3
Decimal(1).exp()
Decimal('2.718')
Finally, .ln is the natural lograthm, or loge(x) .
For more info check out
https://docs.python.org/3/library/decimal.html
.fixed precision float python
x = 13.949999999999999999
g = float("{:.2f}".format(x))decimal in python
>>> from decimal import *
>>> getcontext().prec = 6
>>> Decimal(1) / Decimal(7)
Decimal('0.142857')
>>> getcontext().prec = 28
>>> Decimal(1) / Decimal(7)
Decimal('0.1428571428571428571428571429')Copyright © 2021 Codeinu
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