erddapy 0.5.0

Python interface for ERDDAP

erddapy

erddapy: ERDDAP + Python.

Table of contents

• Overview
  • Example
• Get in touch
• License and copyright

Overview

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.

What is ERDDAP? ERDDAP unifies the different types of data servers and offers a consistent way to get the data in multiple the formats. For more information on ERDDAP servers please see https://coastwatch.pfeg.noaa.gov/erddap/index.html.

Installation

For conda users you can

conda install --channel conda-forge erddapy

or, if you are a pip users

pip install erddapy

Note that, if you are installing the requirements-dev.txt, the iris package is named scitools-iris on PyPI so pip users must rename that before installing.

Example

from erddapy import ERDDAP


e = ERDDAP(
  server='https://data.ioos.us/gliders/erddap',
  protocol='tabledap',
)

e.response = 'csv'
e.dataset_id = 'whoi_406-20160902T1700'
e.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,
}
e.variables = [
    'depth',
    'latitude',
    'longitude',
    'salinity',
    'temperature',
    'time',
]

df = e.to_pandas()

Get in touch

Report bugs, suggest features or view the source code on GitHub.

License and copyright

Erddapy is licensed under BSD 3-Clause "New" or "Revised" License (BSD-3-Clause).

Development occurs on GitHub at https://github.com/ioos/erddapy.