Cyberpandas
Cyberpandas provides support for storing IP and MAC address data inside a pandas DataFrame using pandas' Extension Array Interface
In [1]: from cyberpandas import IPArray
In [2]: import pandas as pd
In [3]: df = pd.DataFrame({"address": IPArray(['192.168.1.1', '192.168.1.10'])})
In [4]: df
Out[4]:
address
0 192.168.1.1
1 192.168.1.10
See the documentation for more.
Installation
With Conda:
conda install -c conda-forge cyberpandas
Or from PyPI
pip install cyberpandas
Metadata
Release files for cyberpandas 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cyberpandas-1.1.1.tar.gz | 22.8 kB | Without provenance | Details for cyberpandas-1.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cyberpandas-1.1.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for cyberpandas-1.1.1-py2.py3-none-any.whl |
Total release size: 44.7 kB
Release files / cyberpandas-1.1.1.tar.gz
| Download URL | cyberpandas-1.1.1.tar.gz |
|---|---|
| Size | 22.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
Release files / cyberpandas-1.1.1-py2.py3-none-any.whl
| Download URL | cyberpandas-1.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 21.9 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for cyberpandas 1.1.1
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