Skip to main content
[![Build Status](https://travis-ci.org/davidsa03/numerize.svg?branch=master)](https://travis-ci.org/davidsa03/numerize)
![Python 2.7](https://img.shields.io/badge/python-2.7-green.svg)
![Python 3.6](https://img.shields.io/badge/python-3.6-green.svg)
[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/davidsa03/numerize/blob/master/LICENSE)
# Numerize

Numerize is a Python (2 and 3) library for converting large numbers into readable strings.
Similar to what Twitter and Instagram use for large follower counts.

| Number | Numerized |
|------|:---------:|
| 1 | **1** |
| 1000 | **1K** |
| 1500 | **1.5K** |
| 1000000 | **1M** |
| 1500000 | **1.5M** |
| 1000000000 | **1B** |
| 1500000000 | **1.5B** |
| 1000000000000 | **1T** |
| 1500000000000 | **1.5T** |
| 21324314 | **21.32M**|
| -21324314 | **-21.32M**|

## Installation

```
$ pip install numerize
```

## Usage

numerize(number_to_numerize, decimal_places_to_round[optional])

```
>>> from numerize import numerize
>>> numerize(1234567.12)
'1.23M'
>>> numerize(12134.123, 3)
'12.134K'
```
This will convert large numbers like 1234567.12 into 1.23M

## Requirements
- Python >= 2.7 or >= 3.4

## Contributing
[How to contribute](https://github.com/davidsa03/numerize/blob/master/CONTRIBUTING.md)

## Testing

```
$ python numerize/test.py
```

## License
MIT licensed.

Metadata

Release files for numerize 0.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for numerize 0.12
File Size Uploaded Provenance
numerize-0.12.tar.gz 2.7 kB Without provenance Details

Release files / numerize-0.12.tar.gz

Download URL numerize-0.12.tar.gz
Size 2.7 kB
Tags Source
SHA-256 checksum
How to use checksums
5548fe72adceb2c7964998179697d80117bb117f57cd02f872cf5db40d615c04
BLAKE2b-256 checksum
How to use checksums
6acfc5dfa6ca5b6553f30860337020d76c582fd81b48da58982a6f2ff1f1fe40
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via Python-urllib/2.7

Security for numerize 0.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page