Issue filtering by ip address

[rmbittmann]

Hi,

I might have missed something as I am not that experienced.
When I use cyberpandas to convert to IP address, I cannot filter the data frame based on the IP. Here is an example.

import cyberpandas as cpd
import ipaddress as ip
import numpy as np
import pandas as pd

df = pd.DataFrame(np.array(([ip.IPv4Address('1.1.1.1'), 1], [ip.IPv4Address('2.2.2.2'), 2], [ip.IPv4Address('3.3.3.3'), 3])),
columns=['ip', 'payload'])
df

df['ip'][0] == ip.IPv4Address('1.1.1.1')

df[df['ip'] == ip.IPv4Address('1.1.1.1')]

Works well.

However
df2 = pd.DataFrame(np.array((['1.1.1.1', 1], ['2.2.2.2', 2], ['3.3.3.3', 3])),
columns=['ip', 'payload'])
df2['ip'] = cpd.to_ipaddress(df2['ip'])
df2

df2['ip'][0] == ip.IPv4Address('1.1.1.1')

df2[df2['ip'] == ip.IPv4Address('1.1.1.1')]

In the last command it does not find the correct row as expected as in the previous example, and returns an empty data frame.

What did I miss? What should be done for it to work?

I am using python 3.9.1. with the latest updated packages.

Thanks,
Rani

[mjbear]

@rmbittmann
It would seem that cyberpandas does not support IP Address types based on issue #40
And PR #41 sounds like it could fix it, but that has stalled.