Pandarize
This project aims to turn all kinds of data structure/types into a nice tabulated pandas DataFrame
Installation
pip install pandarize
Basic Usage Guide
from pandarize.frame import Pandarizer
pdr = Pandarizer() #instantiate Pandarizer class
pdr.load(source='https://somewebsite.com/filename.bib') #it can load from url or local source
pdr.fit() #infers data types and parse it into pandas dataframe
pdr.transform() #changes pandas dataframe into different mode of data types
Currently Supported Data Types
- bib
1 maintainer
Metadata
1 maintainer
Release files for Pandarize 0.0.8.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Pandarize-0.0.8.11.tar.gz | 7.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Pandarize-0.0.8.11-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.9 kB
Release files / Pandarize-0.0.8.11.tar.gz
| Download URL | Pandarize-0.0.8.11.tar.gz |
|---|---|
| Size | 7.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / Pandarize-0.0.8.11-py3-none-any.whl
| Download URL | Pandarize-0.0.8.11-py3-none-any.whl |
|---|---|
| Size | 8.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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