# Maximum and Minimum values for ints

## Question:

How do I represent minimum and maximum values for integers in Python? In Java, we have `Integer.MIN_VALUE`

and `Integer.MAX_VALUE`

.

_{See also: What is the maximum float in Python?.}

## Answers:

### Python 3

In Python 3, this question doesn’t apply. The plain `int`

type is unbounded.

However, you might actually be looking for information about the current interpreter’s *word size*, which will be the same as the machine’s word size in most cases. That information is still available in Python 3 as `sys.maxsize`

, which is the maximum value representable by a signed word. Equivalently, it’s the size of the largest possible list or in-memory sequence.

Generally, the maximum value representable by an unsigned word will be `sys.maxsize * 2 + 1`

, and the number of bits in a word will be `math.log2(sys.maxsize * 2 + 2)`

. See this answer for more information.

### Python 2

In Python 2, the maximum value for plain `int`

values is available as `sys.maxint`

:

```
>>> sys.maxint # on my system, 2**63-1
9223372036854775807
```

You can calculate the minimum value with `-sys.maxint - 1`

as shown in the docs.

Python seamlessly switches from plain to long integers once you exceed this value. So most of the time, you won’t need to know it.

In Python integers will automatically switch from a fixed-size `int`

representation into a variable width `long`

representation once you pass the value `sys.maxint`

, which is either 2^{31} – 1 or 2^{63} – 1 depending on your platform. Notice the `L`

that gets appended here:

```
>>> 9223372036854775807
9223372036854775807
>>> 9223372036854775808
9223372036854775808L
```

From the Python manual:

Numbers are created by numeric literals or as the result of built-in functions and operators. Unadorned integer literals (including binary, hex, and octal numbers) yield plain integers unless the value they denote is too large to be represented as a plain integer, in which case they yield a long integer. Integer literals with an

`'L'`

or`'l'`

suffix yield long integers (`'L'`

is preferred because`1l`

looks too much like eleven!).

Python tries very hard to pretend its integers are mathematical integers and are unbounded. It can, for instance, calculate a googol with ease:

```
>>> 10**100
10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000L
```

The ** sys.maxint** constant has been removed from Python 3.0 onward, instead use

**.**

`sys.maxsize`

## Integers

PEP 237: Essentially,`long`

renamed to`int`

. That is, there is only one built-in integral type, named`int`

; but it behaves mostly like the old`long`

type.…

- The
`sys.maxint`

constant was removed, since there is no longer a limit to the value of integers. However,`sys.maxsize`

can be used as an integer larger than any practical list or string index. It conforms to the implementation’s “natural” integer size and is typically the same as`sys.maxint`

in previous releases on the same platform (assuming the same build options).

If you just need a number that’s bigger than all others, you can use

```
float('inf')
```

in similar fashion, a number smaller than all others:

```
float('-inf')
```

This works in both python 2 and 3.

For Python 3, it is

```
import sys
max_size = sys.maxsize
min_size = -sys.maxsize - 1
```

I rely heavily on commands like this.

```
python -c 'import sys; print(sys.maxsize)'
```

Max int returned: **9223372036854775807**

For more references for ‘sys’ you should access

If you want the max for array or list indices (equivalent to `size_t`

in C/C++), you can use numpy:

```
np.iinfo(np.intp).max
```

This is same as `sys.maxsize`

however advantage is that you don’t need import sys just for this.

If you want max for native int on the machine:

```
np.iinfo(np.intc).max
```

You can look at other available types in doc.

For floats you can also use `sys.float_info.max`

.

You may use ‘inf’ like this:

```
import math
bool_true = 0 < math.inf
bool_false = 0 < -math.inf
```

`sys.maxsize`

is not the actually the maximum integer value which is supported. You can double maxsize and multiply it by itself and it stays a valid and correct value.

However, if you try `sys.maxsize ** sys.maxsize`

, it will hang your machine for a significant amount of time. As many have pointed out, the byte and bit size does not seem to be relevant because it practically doesn’t exist. I guess python just happily expands it’s integers when it needs more memory space. So in general there is no limit.

Now, if you’re talking about packing or storing integers in a safe way where they can later be retrieved with integrity then of course that is relevant. I’m really not sure about packing but I know python’s `pickle`

module handles those things well. String representations obviously have no practical limit.

So really, the bottom line is: what is your applications limit? What does it require for numeric data? Use that limit instead of python’s fairly nonexistent integer limit.

code given below will help you.

for maximum value you can use **sys.maxsize** and for minimum you can **negate** same value and use it.

```
import sys
ni=sys.maxsize
print(ni)
```