strawman
Usage
Create a dummy DataFrame:
>>> from strawman import dummy_df
>>> dummy_df((5,3))
0 1 2
0 Ass wEB jEx
1 xxD TtW Xzs
2 ITh mpj tgy
3 rgN ZyW kzR
4 FPO XiY ARn
Or create a triples DataFrame:
>>> from strawman import dummy_triples
>>> dummy_triples(5)
head relation tail
0 e2 rel0 e1
1 e1 rel0 e0
2 e1 rel0 e2
3 e0 rel0 e2
4 e1 rel1 e0
Installation
Via pip:
pip install strawman
Metadata
Release files for strawman 0.1.3
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 |
|---|---|---|---|---|
| strawman-0.1.3.tar.gz | 7.3 kB | Without provenance | Details for strawman-0.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| strawman-0.1.3-py3-none-any.whl | Python 3 | none | any | Details for strawman-0.1.3-py3-none-any.whl |
Total release size: 14.5 kB
Release files / strawman-0.1.3.tar.gz
| Download URL | strawman-0.1.3.tar.gz |
|---|---|
| Size | 7.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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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 |
poetry/1.3.1 CPython/3.10.6 Linux/5.19.0-38-generic
|
Release files / strawman-0.1.3-py3-none-any.whl
| Download URL | strawman-0.1.3-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
151a34058f2b768d8661b682f5de21c8b63ea95316034e4320472981c32fb022
|
|
BLAKE2b-256 checksum How to use checksums |
b827ea6d350c95c3ffcab60dcebb9c0bbcd07aef0199d90d598df4eee421b4f0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.3.1 CPython/3.10.6 Linux/5.19.0-38-generic
|
Security for strawman 0.1.3
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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