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.
The documentation is hosted at https://ioos.github.io/erddapy.
The code is hosted at https://github.com/ioos/erddapy.
For conda users you can
conda install --channel conda-forge erddapyor, if you are a pip users
python -m pip install erddapyNote 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.
from erddapy import ERDDAP
e = ERDDAP(
server="https://gliders.ioos.us/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()Report bugs, suggest features or view the source code on GitHub.
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rerddap implements a nice client for R that performs searches on a curated set of servers instead of a query per server like erddapy.
-
erddap-python 99% of the same functionality as erddapy but with a JavaScript-like API.
Erddapy is licensed under BSD 3-Clause "New" or "Revised" License (BSD-3-Clause).
Development occurs on GitHub at https://github.com/ioos/erddapy.