Alan - 2 months ago 5x

Python Question

I am trying to implement a method that takes a matrix from the matrix class i've defined and returns a triagonal matrix using gaussian elimination.

Consider the following matrix:

`m1 = [[2, -3, -4],`

[-1, 4, 5],

[1, -3, -4]]

Basically i need to add to each row, a multiple of another previous row, until i end up with a matrix which has 0 in all places below the main diagonal. Following this process, i should have the following matrix:

`m2 = [[2, -3, -4],`

[0, 5/2, 3],

[0, 0, -1/5]]

The problem is that fractions like 1/3 will often come up and i wouldn't want to lose precision by using floats. So is there any way to represent fractions? Will i have to define special behaviour for those?

For the sake of doing it by myself i don't want to use any external modules.

Answer

There is a class that does exactly what you want: `fractions.Fraction`

:

```
>>> from fractions import Fraction
>>> print(Fraction(5, 6))
5/6
```

Fractions behave like regular numbers in most situations:

```
>>> print(Fraction(5, 6) + 6)
41/6
>>> print(Fraction(5, 6) + Fraction(1, 2))
4/3
>>> print(Fraction(5, 6) + 17.445)
18.278333333333332
```

The last example shows that the fraction gets converted to a `float`

if the other operand is a `float`

. This makes sense, since you would not expect a float of undetermined precision to be converted to a `Fraction`

.

Source (Stackoverflow)

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