If data is not available, use R-compatible 'NA' string.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5987 348d0f76-0448-11de-a6fe-93d51630548a
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@ -56,9 +56,9 @@ for sample_id,filename in samples.items():
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max_haplotypes_confidently_matching = str(max(haplotypes_confidently_matching))
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median_haplotypes_confidently_matching = str(median(haplotypes_confidently_matching))
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else:
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min_haplotypes_confidently_matching = 'N/A'
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max_haplotypes_confidently_matching = 'N/A'
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median_haplotypes_confidently_matching = 'N/A'
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min_haplotypes_confidently_matching = 'NA'
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max_haplotypes_confidently_matching = 'NA'
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median_haplotypes_confidently_matching = 'NA'
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hybrid_selection_metrics = get_metrics('%s.%s' % (basepath,'hybrid_selection_metrics'))[0]
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alignment_summary_metrics = get_metrics('%s.%s' % (basepath,'alignment_summary_metrics'))[0]
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