t.rast.udf.html

<h2>DESCRIPTION</h2>
This module is designed to apply a user defined Python function (UDF) to
a raster time series (STRDS). This module will accept a single STRDS as input and
will generate a single STRDS as output.

<p>
User defined function mus follow the API definition provided by the openEO UDF API initiative.
<p>
This module requires the openEO UDF API installed in the python path. It also requireds python3.7 to run.

<H2>EXAMPLES</H2>

Compute the sum of all (x,y) slices in the time series cube along the time axis (0):

<div class="code"><pre>
def rct_sum(udf_data):
    tile_results = []

    for tile in udf_data.raster_collection_tiles:
        tile_sum = numpy.sum(tile.data, axis=0)
        rows, cols = tile_sum.shape
        array3d = numpy.ndarray([1, rows, cols])
        array3d[0] = tile_sum
        if tile.start_times is not None and tile.end_times is not None:
            starts = pandas.DatetimeIndex([tile.start_times[0]])
            ends = pandas.DatetimeIndex([tile.end_times[-1]])
        else:
            starts = None
            ends = None

        rct = RasterCollectionTile(id=tile.id + "_sum", extent=tile.extent, data=array3d,
                                   start_times=starts, end_times=ends)
        tile_results.append(rct)
    udf_data.set_raster_collection_tiles(tile_results)

rct_sum(data)
</pre></div>


<h2>AUTHOR</h2>

S&ouml;ren Gebbert

<p><i>Last changed: $Date: 2016-09-19 12:29:41 +0200 (Mo, 19. Sep 2016) $</i>