Python Less Than or Equal To

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The Python less than or equal to (`left<=right`) operator returns `True` when its `left` operand does not exceed the `right` operand. When the `left` operand is greater than the `right` operand, the `<=` operator returns `False`. For example, `2<=3` and `2<=2` evaluate to `True`, but `3<=2` and evaluates to `False`.

Examples

Let’s explore a couple of examples regarding the less than or equal to operator.

Is 3 less than or equal to 2?

```>>> 3 <= 2
False```

What about 2 less than or equal to 3?

```>>> 2 <= 3
True```

And 2 less than or equal to itself?

```>>> 2 <= 2
True```

Can you compare collections such as lists?

```>>> [1, 2] <= [99]
True
>>> [1, 2] <= [0]
False
>>> [1, 2] <= [1, 2, 3]
True
>>> [1, 2] <= [1, 1, 3]
False
>>> [1, 2] <= [1, 2]
True```

Yes!

The list “less than or equal to” operator iterates over the lists and checks pairwise if the i-th element of the left operand is at most the i-th element of the right operand (see detailed discussion below).

Can you use the less than or equal to operator on custom objects? Yes!

Python Less Than or Equal to Magic Method

To use the “less than or equal to” operator on custom objects, you need to define the `__le__()` dunder method that takes two arguments: `self` and `other`. You can then use attributes of the custom objects to determine if one is less than or equal to the other.

In the following code, you check if a Person is less than or equal to the other Person by using the `age` attribute as a decision criterion:

```class Person:
def __init__(self, age):
self.age = age

def __le__(self, other):
return self.age <= other.age

alice = Person(10)
bob = Person(12)

print(alice <= bob)
# True

print(bob <= alice)
# False

print(bob <= bob)
# True
```

Because Alice is 10 years old and Bob is 12 years old, the result of `alice <= bob` is `True` and `bob <= alice` is `False`. If you compare Bob with himself, the result is `True` as defined in the `__le__` magic method.

Python Less Than or Equal to If Statement

The Python less than or equal to `<`= operator can be used in an if statement as an expression to determine whether to execute the if branch or not. For example, the condition `x<=3` checks if the value of variable `x` is less than or equal to 3, and if it is, the if branch is entered.

The following code asks the user to input their age using the `input()` function. It then checks if the user input, when converted to an integer using `int()`, is smaller than or equal to 17. If so, it enters the if branch. If not, it enters the else branch.

```x = int(input('your age: '))

if x <= 17:
print('you cannot vote')
else:
print('you can vote')```

Here’s an example execution of this code where the if branch is not entered:

```your age: 18
you can vote```

Here’s an example execution where the if branch is entered:

```your age: 13
you cannot vote```

Python Less Than or Equal to Chaining

You can chain together two “less than or equal to” operators. For example, the expression `5 <= x <= 18` would check whether variable `x` is between 5 and 18, both interval boundaries are included. Formally, the expression `x <= y <= z` is just a shorthand expression for `(x <= y) and (y <= z)`.

Here’s a minimal example that checks if variable `x` is between 5 and 18.

```x = 8

# Is x between 5 and 18?
if 5 <= x <= 18:
print('yes')

# Output: yes```

The code enters the if branch because the if condition is fulfilled.

Python Less Than or Equal For Loop

There’s no “less than or equal to” condition to be used in `for` loops. If you want to iterate over all elements in a given iterable that are less than or equal to an element `y`, create a filtered list with list comprehension such as `[x for x in iterable if x<=y]`. You can then iterate over the generated list.

Here’s an example where you iterate in a for loop over all list elements that are less than or equal to `y=5`:

```elements = [1, 3, 5, 7, 9]
y = 5

for element in [x for x in elements if x<=y]:
print(element)

```

The output is:

```1
3
5```

Python Less Than or Equal to Float

Never test floating-point numbers for equality. The reason is that floating-point numbers are inherently imprecise and two floats that should be equal from a mathematical point of view, may not actually be. Instead, use the Decimal data type instead of float that is more precise.

```x = 1.92 - 1.52
if 0.40 <= x:
print("Yes!")
else:
print("No!")```

Surprisingly to many coders, the output is `"No!"`. See here for a more detailed discussion.

Here’s the solution with the `Decimal` type:

```from decimal import Decimal

x = Decimal('1.92') - Decimal('1.52')
if Decimal('0.40') <= x:
print("Yes!")
else:
print("No!")
```

Now, the output is `"Yes!"` as it should be!

Python Less Than or Equal to Lists

The list “less than or equal to” operator iterates over the lists and checks pairwise if the i-th element of the left operand is smaller than or equal to the i-th element of the right operand.

```>>> [1, 2] <= [99]
True
>>> [1, 2] <= [0]
False
>>> [1, 2] <= [1, 2, 3]
True
>>> [1, 2] <= [1, 1, 3]
False
>>> [1, 2] <= [1, 2]
True```
• `[1, 2] <= [99]`. Python first checks `1 <= 99` which is `True`, so it immediately returns `True`.
• `[1, 2] <= [0]`. Python first checks `1 <= 0` which is `False`.
• `[1, 2] <= [1, 2, 3]`. Python first compares 1 and 1—a tie! So, it moves on to the second elements 2 and 2—tie again! So, it moves to the third elements as a tie-breaker. But only the second list has a third element so it is considered greater than the first and the result of the operation is `True`.
• `[1, 2] <= [1, 1, 3]`. Python compares elements 1 and 1—a tie! But then it compares the second elements 2 and 1 and determines that the first is not less than the second, so the result is `False`.
• `[1, 2] <= [1, 2]`. The lists contain the same elements, so pairwise comparison results in `True`.

The same method also applies to strings and other sequence types in Python such as tuples.

Is Everything Less Than or Equal to None?

You cannot use the less than or equal to operator with `None` as one of its operands. Python 3 expects that both operands implement the comparable interface, but the `None` type does not. That’s why Python raises a `TypeError` if you try to compare variables with `None`.

```>>> 21 <= None
Traceback (most recent call last):
File "<pyshell#0>", line 1, in <module>
21 <= None
TypeError: '<=' not supported between instances of 'int' and 'NoneType'```

Comparison Operators

Comparison operators are applied to comparable objects and they return a Boolean value (`True` or `False`).