PdCheckers
Tool to investigate consistency and dirtiness of a pandas DataFrame
Installation
pip install pdcheckers
Usage
Check example.ipynb
Data
Original mock data from version 0.1 generated https://mockaroo.com/. Dirtiness introduced.
1 maintainer
Metadata
1 maintainer
Release files for pdcheckers 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pdcheckers-0.1.tar.gz | 2.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pdcheckers-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.0 kB
Release files / pdcheckers-0.1.tar.gz
| Download URL | pdcheckers-0.1.tar.gz |
|---|---|
| Size | 2.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / pdcheckers-0.1-py3-none-any.whl
| Download URL | pdcheckers-0.1-py3-none-any.whl |
|---|---|
| Size | 15.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
b1370e435b7a6dccfef6c8922257116442e86cf566fa125aa71debdef3d60231
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
