IP-specific methods for akimbo

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  • Requires: Python >=3.9
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Project description

Akimbo-ip

Extension enabling fast vector processing of IPv4 and IPv6 values within nested/ragged columns of dataframes.

(experimental)

Installation

Run one of the following

> pip install git+https://github.com/intake/akimbo-ip  # dev version
> pip install akimbo-ip  # released version

Model

  • IPv4 addresses are (fixed) length 4 bytestrings, but can be represented by any 4-bye value, e.g., uint32 or fixed-4-length list of uint8
  • IPv6 addresses are (fixed) length 16 bytestrings or fixed-16-length list of uint8
  • Networks are records with an IPv4 or IPv6 field (nominally "address") and a uint8 field for the prefix length (nominally "prefix"). The field names can be overidden.

We can convert between hostmasks, netmasks and prefix lengths. Some methods require composite types like list-of-addresses, see the individual docstrings.

As with the normal functioning of akimbo, you can indicate which parts of a nested structure should be with the where= kwargs to any method.

Usage

>>> import akimbo.pandas
>>> import akimbo_ip

This will anable the .ak accessor for pandas series and dataframes (or pick a different dataframe library) and a subaccessor .ak.ip which makes available several methods that act on IP addresses and network.

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This version

0.2.0

0.1.2

0.1.1

0.1.0

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