# Comparisons¶

When we have two or more variables, it is often necessary to write code that makes comparisons between them.

When comparing two objects it is important to make a distinction between value and identity:

- they can have different value and different identities
- they can have the same value, but have separate identities
- they can have the same value
*and*the same identity

Let’s have a look at how to ask these questions in Python:

## Comparing values¶

Let’s start by storing a few numbers in variables:

```
a = 12
b = 20
c = 20
```

We can now compare these values in different ways. The result of a comparison expression is always a boolean value.

Are the numbers equal? This question is asked with the `==`

operator:

```
>>> a == b
False
>>> b == c
True
```

Are the numbers different (not equal)? This question is asked with the `!=`

operator:

```
>>> a != b
True
>>> b != c
False
```

Is the first number bigger than the second? This question is asked with the `>`

operator:

```
>>> a > b
False
>>> b > c
False
```

Is the first number smaller than the second? This question is asked with the `<`

operator:

```
>>> a < b
True
>>> b < c
False
```

Is the first number bigger than or equal to the second? This question is asked with the `>=`

operator:

```
>>> a >= b
False
>>> b >= c
True
```

Is the first number smaller than or equal to the second? This question is asked with the `<=`

operator:

```
>>> a <= b
True
>>> b <= c
True
```

## Comparing identity¶

Besides comparing the *value* of two objects, we can also compare their identity.

Two objects can have the same value and still have different *identities* – they are not the same thing. For example:

The integer `10`

and the decimal number `10.0`

have the same nummerical value:

```
>>> 10 == 10.0
True
```

To compare the identity between the objects we use the logical operator `is`

:

```
>>> 10 is 10.0
False
```

As we can see, the two objects have different identities – one is a `float`

, and the other is an `int`

.

## Testing ‘truthiness’¶

Every value in every data type in Python can be converted to a boolean. Empty objects are usually converted to `False`

, while anything else is converted to `True`

.

Here are some examples with different data types:

```
>>> # string
>>> print bool('hello')
>>> print bool('')
True
False
>>> # list
>>> print bool(['a', 'b', 'c'])
>>> print bool([])
True
False
>>> # tuple
>>> print bool((1, 2, 3))
>>> print bool(())
True
False
>>> # dict
>>> print bool({'A' : 1, 'B' : 2})
>>> print bool({})
True
False
>>> # integer
>>> print bool(100)
>>> print bool(0)
True
False
>>> # float
>>> print bool(1.1)
>>> print bool(0.0)
True
False
>>> # None
>>> print bool(None)
False
```

See also