Metadata-Version: 2.1
Name: erddapy
Version: 0.1.4
Summary: Python interface for ERDDAP
Home-page: https://github.com/ocefpaf/erddapy
Author: Filipe Fernandes
Author-email: ocefpaf@gmail.com
License: Copyright 2017 Filipe Fernandes
Requires-Dist: pandas (>=0.20.3)
Requires-Dist: requests
Provides-Extra: testing
Requires-Dist: pytest; extra == 'testing'


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Description: .. image:: https://travis-ci.org/pyoceans/erddapy.svg?branch=master
           :target: https://travis-ci.org/pyoceans/erddapy
        
        .. image:: https://anaconda.org/conda-forge/erddapy/badges/version.svg
           :target: https://anaconda.org/conda-forge/erddapy
        
        .. image:: https://img.shields.io/pypi/v/erddapy.svg
           :target: https://pypi.python.org/pypi/erddapy/
        
        .. image:: https://img.shields.io/pypi/l/erddapy.svg
           :target: https://pypi.python.org/pypi/erddapy/
        
        .. image:: https://zenodo.org/badge/104919828.svg
           :target: https://zenodo.org/badge/latestdoi/104919828
        
        
        erddapy: ERDDAP + Python
        ========================
        
        Easier access to scientific data.
        
        erddapy takes advantage of ERDDAP's RESTful web services and creates the ERDDAP URL for any request,
        like searching for datasets, acquiring metadata, downloading the data, etc.
        
        
        Example
        -------
        
        .. code:: python
        
            from erddapy import ERDDAP
            import pandas as pd
        
        
            constraints = {
                'time>=': '2016-07-10T00:00:00Z',
                'time<=': '2017-02-10T00:00:00Z',
                'latitude>=': 38.0,
                'latitude<=': 41.0,
                'longitude>=': -72.0,
                'longitude<=': -69.0,
            }
        
            variables = [
            'depth',
            'latitude',
            'longitude',
            'salinity',
            'temperature',
            'time',
            ]
        
            e = ERDDAP(
                server='https://data.ioos.us/gliders/erddap',
                protocol='tabledap',
                response='csv',
                dataset_id='blue-20160818T1448',
                constraints=constraints,
                variables=variables,
            )
        
            df = e.to_pandas()
        
        
        What is ERDDAP?
        ---------------
        
        ERDDAP unifies the different types of data servers and offers a consistent way to get the data in multiple the formats.
        
        0.1.0
        ~~~~~
        
        First version!
        
Keywords: ERDDAP,Scientific Python,Remote data access
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: GIS
Classifier: License :: OSI Approved :: BSD License
Classifier: Development Status :: 4 - Beta
Provides-Extra: testing
