Skip to main content

Python client library for dratio.io API Web services

Project description

Dratio Python client

PyPI version ReadTheDocs Python version GitHub

The Dratio Python client allows you to effortlessly access and download data from the Dratio API using Python. Integrate a wide range of datasets from Dratio into your data science projects related to marketing, consumption, demographics, or income, and make data-driven decisions to drive innovation within your organization.

Get started by installing the client and authenticating with your Dratio API key. The client provides methods to access and download the data you need, returning the data as a Pandas DataFrame for easy manipulation and analysis.

Installation

The stable version of the Dratio Python client is available on PyPI for Python 3.7 to 3.11, regardless of the platform. Install it using pip:

pip install dratio

For datasets with geographic information, ensure geopandas is installed in your Python environment. Alternatively, install the package with all necessary dependencies using pip:

pip install dratio[geo]

API Keys

To use the API, create an API key. If you haven't registered, create an account on dratio.io.

| Remember to securely store your API keys and avoid sharing them publicly. API keys grant access to all services on your behalf. If a key is compromised, delete and create new keys.

Getting Started

The Client class enables access to all API resources using your API key.

from dratio import Client

client = Client('Your API key')

Basic functionality allows you to search and filter available datasets for download.

client.list_datasets()

After selecting a Dataset, access its information and download its content as a Pandas DataFrame or, for datasets with geographic information, as a GeoDataFrame.

dataset = client.get_dataset('municipalities')

df = dataset.to_pandas() # Download as DataFrame
gdf = dataset.to_geopandas() # GeoDataFrame with geographic information

To gain a comprehensive understanding of the Dratio Python client and explore all its features, visit the official documentation on Read the Docs.

License & Terms and Conditions

This source code is licensed under the Apache License, Version 2.0. Obtain a copy of the License at apache.org.

The use of the data offered by this client must comply with Dratio's terms and conditions. Obtain a copy of the terms at dratio.io/legal/.

Support

If you encounter a bug or have a feature suggestion, please log an issue or contact us through our page or via email at info@dratio.io

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dratio-0.0.16.tar.gz (32.5 kB view details)

Uploaded Source

Built Distribution

dratio-0.0.16-py3-none-any.whl (45.9 kB view details)

Uploaded Python 3

File details

Details for the file dratio-0.0.16.tar.gz.

File metadata

  • Download URL: dratio-0.0.16.tar.gz
  • Upload date:
  • Size: 32.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for dratio-0.0.16.tar.gz
Algorithm Hash digest
SHA256 6324fa1d1adaabea047d5bc00ab79478814be17ea6d6f5e87330d953b9783a5d
MD5 936b28efdcdaf4e778e648db5e4c24e9
BLAKE2b-256 95ebcbbdec1a22aef86a0e18f80f0753baaed77522475127cd1e117ba82d285a

See more details on using hashes here.

File details

Details for the file dratio-0.0.16-py3-none-any.whl.

File metadata

  • Download URL: dratio-0.0.16-py3-none-any.whl
  • Upload date:
  • Size: 45.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for dratio-0.0.16-py3-none-any.whl
Algorithm Hash digest
SHA256 9c72db4c769eeb1286298604c19aa01a447c28597b96401e0742009d95777dde
MD5 72f4271cd1c8f34d5363c9eba2698423
BLAKE2b-256 a615c8e1f08c726da519ce2b38cdd3a01a602151853647cf41aa81d073aa512c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page