Base de dados brasileiras com dados reais para propósitos educacionais
Project description
cacimbão
Bases de dados brasileiras para fins educacionais 🤓 demo
Uso
Primeiro, instale o pacote com o PyPi:
pip install cacimbao
Base de dados disponíveis
Depois, você pode usar o pacote para ver as bases disponíveis:
import cacimbao
cacimbao.list_datasets()
Se quiser ver mais detalhes sobre as base de dados disponíveis, você pode usar:
import cacimbao
cacimbao.list_datasets(include_metadata=True)
Carregando uma base de dados local
Carregue um dataset local:
df = cacimbao.load_dataset("pescadores_e_pescadoras_profissionais")
Carregando uma base de dados remota
Ou escolha um dataset para download:
df = cacimbao.download_dataset("filmografia_brasileira")
Escolha do formato do dataframe
Você pode também escolher qual o formato do dataframe na sua biblioteca preferida. A biblioteca padrão é o Polars mas você pode trabalhar com Pandas também.
df = cacimbao.download_dataset("filmografia_brasileira", df_format="pandas")
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cacimbao-0.2.0.tar.gz.
File metadata
- Download URL: cacimbao-0.2.0.tar.gz
- Upload date:
- Size: 3.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dfb5409d91425a0918b226d870ea504388ea369c75c701feffbeff500ea23f6e
|
|
| MD5 |
6f3094335615a0bd4bc875b56089e72d
|
|
| BLAKE2b-256 |
52372428434db4c5546d98550d2950247547a108ea3d275d1f203755d5a45906
|
Provenance
The following attestation bundles were made for cacimbao-0.2.0.tar.gz:
Publisher:
release.yml on anapaulagomes/cacimbao
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
cacimbao-0.2.0.tar.gz -
Subject digest:
dfb5409d91425a0918b226d870ea504388ea369c75c701feffbeff500ea23f6e - Sigstore transparency entry: 232425602
- Sigstore integration time:
-
Permalink:
anapaulagomes/cacimbao@48d9411adf56d8516cab5b67338d005d698049a6 -
Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/anapaulagomes
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@48d9411adf56d8516cab5b67338d005d698049a6 -
Trigger Event:
push
-
Statement type:
File details
Details for the file cacimbao-0.2.0-py3-none-any.whl.
File metadata
- Download URL: cacimbao-0.2.0-py3-none-any.whl
- Upload date:
- Size: 3.3 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1261daf71c98d550b814a7133b20cc10b3d39c7203f43afbc12161ac9a4c09b2
|
|
| MD5 |
711bbcef90020e95400ff2859bec977c
|
|
| BLAKE2b-256 |
005b836c7d945ca448ccb08fb96d2410f2a64e10b08b8d205cf9b440db1bf4c3
|
Provenance
The following attestation bundles were made for cacimbao-0.2.0-py3-none-any.whl:
Publisher:
release.yml on anapaulagomes/cacimbao
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
cacimbao-0.2.0-py3-none-any.whl -
Subject digest:
1261daf71c98d550b814a7133b20cc10b3d39c7203f43afbc12161ac9a4c09b2 - Sigstore transparency entry: 232425603
- Sigstore integration time:
-
Permalink:
anapaulagomes/cacimbao@48d9411adf56d8516cab5b67338d005d698049a6 -
Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/anapaulagomes
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@48d9411adf56d8516cab5b67338d005d698049a6 -
Trigger Event:
push
-
Statement type:
