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wradlib Documentation - Bitbucket

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<strong>wradlib</strong> <strong>Documentation</strong>, Release 0.1.1<br />

With the accumulation data as an input histo_cut returns an mask array with ones where clutter is detected:<br />

import <strong>wradlib</strong> as wrl<br />

accumulation_array = np.loadtxt(’d:/Stephan/Arbeit/PROGRESS/Daten/Philipines_s-band/netcdf/addition/p<br />

cluttermask = wrl.clutter.histo_cut(accumulation_array)<br />

30 Chapter 2. Tutorials

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