cacimbão
Bases de dados brasileiras para fins educacionais 🤓 demo
Uso
Primeiro, instale o pacote com o PyPi ou interaja através do notebook
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")
O que é um cacimbão?
Veja o que é um cacimbão aqui.
Metadata
Release files for cacimbao 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cacimbao-0.4.0.tar.gz | 7.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cacimbao-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.3 MB
Release files / cacimbao-0.4.0.tar.gz
| Download URL | cacimbao-0.4.0.tar.gz |
|---|---|
| Size | 7.2 MB |
| 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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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Dec 18, 2025.
Transparency logRelease files / cacimbao-0.4.0-py3-none-any.whl
| Download URL | cacimbao-0.4.0-py3-none-any.whl |
|---|---|
| Size | 7.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e3072dfe8f1851cf810bed0a97520d99ce0a5afb5c85393e3f2154f610cbc9e8
|
|
BLAKE2b-256 checksum How to use checksums |
512450f07fb5c10f22b919db2f2db5cd8dfc76a591372719969e814122268e96
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 18, 2025.
Transparency log