Skip to main content

Kedro-Datasets is where you can find all of Kedro's data connectors.

Project description

Kedro-Datasets

License Python Version PyPI Version Code Style: Black

A Kedro plugin that powers Kedro's DataCatalog.

Installation

kedro-datasets is a Python plugin. To install it:

pip install kedro-datasets

Datasets

Welcome to kedro_datasets.datasets, the home of Kedro's data connectors. Here you will find AbstractDataSet implementations created by QuantumBlack and external contributors.

What AbstractDataSet implementations are supported?

We support a range of data connectors, including CSV, Excel, Parquet, Feather, HDF5, JSON, Pickle, SQL Tables, SQL Queries, Spark DataFrames and more. We even allow support for working with images.

These data connectors are supported with the APIs of pandas, spark, networkx, matplotlib, yaml and more.

The Data Catalog allows you to work with a range of file formats on local file systems, network file systems, cloud object stores, and Hadoop.

Here is a full list of supported data connectors and APIs.

How can I create my own AbstractDataSet implementation?

Take a look at our instructions on how to create your own AbstractDataSet implementation.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kedro_datasets-0.0.3-py3-none-any.whl (93.7 kB view details)

Uploaded Python 3

File details

Details for the file kedro_datasets-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: kedro_datasets-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 93.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.0

File hashes

Hashes for kedro_datasets-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 75f55899b92b865b037409fcfd05319131094e87582d6004539c7005f8e2cdf1
MD5 95bef982997edb1a9e63c82f8112868d
BLAKE2b-256 18b82b2ca03993ea337d311d3991481d9c2f63cca6ce88189db07371aaf5e372

See more details on using hashes here.

Supported by

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