awips2/docs/python/python-awips-data-access.md

The python-awips package provides a data access framework for requesting grid and geometry datasets from an EDEX server.

!!! info "For a more detailed look at the python-awips package, refer to the full documentation site which includes a number of plotting examples for different data types."

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Install

pip install python-awips

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Requirements

• Python 2.7+
• Numpy 1.7+
• Shapely 1.4+
• MetPy and enum34 to run Jupyter Notebook examples

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Example

The simplest example requesting the RAP40 surface temperature grid from a remote EDEX server, saved to 2-dimensional Numpy arrays named data, lons, and lats.

from awips.dataaccess import DataAccessLayer
DataAccessLayer.changeEDEXHost("edex-cloud.unidata.ucar.edu")
request = DataAccessLayer.newDataRequest()
dataTypes = DataAccessLayer.getSupportedDatatypes()
request.setDatatype("grid")
request.addLocationNames("RAP40")
request.setParameters("T")
request.setLevels("0.0SFC")
cycles = DataAccessLayer.getAvailableTimes(request, True)
times = DataAccessLayer.getAvailableTimes(request)
response = DataAccessLayer.getGridData(request, times[-1])
for grid in response:
    data = grid.getRawData()
    lons, lats = grid.getLatLonCoords()