... | ... | @@ -3,8 +3,8 @@ To use the tests decide which tests are relevant to the analysis and will be use |
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For this example, assume the data and companion QC fields are ten element arrays and equal to the values
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import numpy as np
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direct_normal_broadband = np.array([10, 9, -1, -0.1, 11, 20, 50, 110, 12200, 134])
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qc_direct_normal_broadband = np.array([16, 16, 3, 1, 0, 0, 0, 0, 4, 32])
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direct_normal_broadband = np.array([10, 9, -1, -0.1, 11, 20, 50, 110, 12200, 134], dtype=float)
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qc_direct_normal_broadband = np.array([16, 16, 3, 1, 0, 0, 0, 0, 4, 32], dtype=int)
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Next, create an array of tests to use in the mask to exclude values
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