basedosdados 2.0.3

Organize and facilitate access to Brazilian data through public tables on BigQuery.

basedosdados

basedosdados is a Python package that provides easy access to Brazil’s largest open data lake, hosted on Google BigQuery. It allows you to query, download, and analyze high-quality, ready-to-use public datasets with minimal setup.

Installation

Install from PyPI:

pip install basedosdados

Or using uv:

uv add basedosdados

Or with poetry:

poetry add basedosdados

Quickstart

Access a table

import basedosdados as bd

df = bd.read_table('br_ibge_pib', 'municipio', billing_project_id="<YOUR-PROJECT>")

On first use, you will be prompted to authenticate your Google Cloud project. See how to create a project here.

Run a SQL query

import basedosdados as bd

query = """
SELECT *
FROM `basedosdados.br_tse_eleicoes.bens_candidato`
WHERE ano = 2020
AND sigla_uf = 'TO'
"""

df = bd.read_sql(query, billing_project_id="<YOUR-PROJECT>")

Set global configuration

You can set your billing project globally to avoid passing it every time:

import basedosdados as bd

bd.config.billing_project_id = "<YOUR-PROJECT-ID>"

query = """
SELECT *
FROM `basedosdados.br_bd_diretorios_brasil.municipio`
"""

df = bd.read_sql(query=query)

Download query results to CSV

import basedosdados as bd

query = """
SELECT ano, id_municipio, pib
FROM `basedosdados.br_ibge_pib.municipio`
WHERE ano = 2010
"""

bd.download("pib_2010.csv", query=query, billing_project_id="<YOUR-PROJECT>")

Documentation

• API Reference

Advanced: Multiple Configurations

If you need to use multiple service accounts or configurations, you can manage them by renaming the config folder and setting bd.config.project_config_path:

import basedosdados as bd
bd.config.project_config_path = "/home/user/.bd_my_other_account"

Contributing

See our contribution guide for how to help improve this package.

License

MIT License. See LICENSE for details.

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Part of the Base dos Dados project – universalizing access to quality data in Brazil.