Intake: A general interface for loading data
Intake is a lightweight set of tools for loading and sharing data in data science projects.
Intake helps you:
- Load data from a variety of formats (see the current list of known plugins) into containers you already know, like Pandas dataframes, Python lists, NumPy arrays, and more.
- Convert boilerplate data loading code into reusable Intake plugins
- Describe data sets in catalog files for easy reuse and sharing between projects and with others.
- Share catalog information (and data sets) over the network with the Intake server
Documentation is available at Read the Docs.
Install
Recommended method using conda:
conda install -c intake intake
Development Environment
- Create development Python environment.
pip install -r requirements.txtpython setup.py develop- Verify development environment by running the unit tests with
py.test.
Release files for intake 0.2.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| intake-0.2.9.tar.gz | 2.0 MB | Details |
Release files / intake-0.2.9.tar.gz
| Download URL | intake-0.2.9.tar.gz |
|---|---|
| Size | 2.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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