Skip to main content

Provides utility functions for accessing data repository for Project Pythia examples/notebooks

Project description

CI GitHub Workflow Status GitHub Workflow Status Code Coverage Status
Docs Documentation Status
Package Conda PyPI
License License

pythia-datasets

Data repository for Project Pythia examples/notebooks

Sample data sets

These files are used as sample data in Pythia Project examples/notebooks and are downloaded by pythia_datasets package:

  • NARR_19930313_0000.nc
  • enso_data.csv
  • jan-17-co-asos.txt.xz

Adding new datasets

To add a new dataset file, please follow these steps:

  1. Add the dataset file to the data/ directory
  2. From the command line, run python make_registry.py script to update the registry file residing in pythia_datasets/registry.txt
  3. Commit and push your changes to GitHub

Using datasets in notebooks and/or scripts

  • Ensure the pythia_datasets package is installed in your environment

    python -m pip install pythia-datasets
    
    # or
    
    python -m pip install git+https://github.com/ProjectPythia/pythia-datasets
    
  • Import DATASETS and inspect the registry to find out which datasets are available

    In [1]: from pythia_datasets import DATASETS
    
    In [2]: DATASETS.registry_files
    Out[2]: ['jan-17-co-asos.txt.xz', 'NARR_19930313_0000.nc']
    
  • To fetch a data file of interest, use the .fetch method and provide the filename of the data file. This will

    • download and cache the file if it doesn't exist already.
    • retrieve and return the local path
    In [4]: filepath = DATASETS.fetch('jan-17-co-asos.txt.xz')
    
    In [5]: filepath
    Out[5]: '/Users/abanihi/Library/Caches/pythia-datasets/jan-17-co-asos.txt.xz'
    
  • Once you have access to the local filepath, you can then use it to load your dataset into pandas or xarray or your package of choice:

    In [6]: df = pd.read_csv(filepath)
    

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

pythia-datasets-2021.6.11.tar.gz (11.7 kB view details)

Uploaded Source

Built Distribution

pythia_datasets-2021.6.11-py3-none-any.whl (8.3 kB view details)

Uploaded Python 3

File details

Details for the file pythia-datasets-2021.6.11.tar.gz.

File metadata

  • Download URL: pythia-datasets-2021.6.11.tar.gz
  • Upload date:
  • Size: 11.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for pythia-datasets-2021.6.11.tar.gz
Algorithm Hash digest
SHA256 35f39402ae9fd7a27118313910c30217e5b8c703287860f148d340d252adf1d7
MD5 cffad112dd69a72c448150cc919f7ce4
BLAKE2b-256 b18ae4f6aa1b6b6e03d6d2da80decf2591983835e997c28189328b9019f15047

See more details on using hashes here.

File details

Details for the file pythia_datasets-2021.6.11-py3-none-any.whl.

File metadata

  • Download URL: pythia_datasets-2021.6.11-py3-none-any.whl
  • Upload date:
  • Size: 8.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for pythia_datasets-2021.6.11-py3-none-any.whl
Algorithm Hash digest
SHA256 e934de8d6182680598386da848f35d0abe3d6348fb2922bd0d42b7e27a63c35c
MD5 35e99ffa9df90ab1bd03629a6d22058c
BLAKE2b-256 ba62d93caabc940b4ad335dff8e8306a0f226bf3c9e8107bf546d8ce08269a04

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