cyberpandas

cyberpandas is a library for working with arrays of IP Addresses. It’s specifically designed to work well with pandas.

Key Concepts

IPType

This is a data type (like numpy.dtype('int64') or pandas.api.types.CategoricalDtype(). For the most part, you won’t interact with IPType directly. It will be the value of the .dtype attribute on your arrays.

IPArray

This is the container for your IPAddress data.

Usage

In [1]: from cyberpandas import IPArray

In [2]: import pandas as pd

In [3]: arr = IPArray(['192.168.1.1',
   ...:                '2001:0db8:85a3:0000:0000:8a2e:0370:7334'])
   ...: 

In [4]: arr
Out[4]: IPArray(['192.168.1.1', '2001:db8:85a3::8a2e:370:7334'])

IPArray is a container for both IPv4 and IPv6 addresses. It can in turn be stored in pandas’ containers:

In [5]: pd.Series(arr)
Out[5]: 
0                     192.168.1.1
1    2001:db8:85a3::8a2e:370:7334
dtype: ip

In [6]: pd.DataFrame({"addresses": arr})
Out[6]: 
                      addresses
0                   192.168.1.1
1  2001:db8:85a3::8a2e:370:7334

See Usage for more.

Indices and tables