Mercurial > repos > imgteam > 2d_feature_extraction

comparison 2d_feature_extraction.py @ 1:f03b4da203d0 draft

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tools/2d_feature_extraction/ commit e45ba62aae80d942bbf1cbf572bd9aec64297900
author imgteam
date Tue, 09 Jul 2019 08:35:50 -0400
parents 96909b9d1df1
children 6fdb3542a406
comparison
equal deleted inserted replaced
0:96909b9d1df1 1:f03b4da203d0
116 if args.solidity or args.all_features: 116 if args.solidity or args.all_features:
117 df['solidity'] = df['it'].map(lambda ait: regions[ait].solidity) 117 df['solidity'] = df['it'].map(lambda ait: regions[ait].solidity)
118 if args.moments or args.all_features: 118 if args.moments or args.all_features:
119 df['moments'] = df['it'].map(lambda ait: regions[ait].moments) 119 df['moments'] = df['it'].map(lambda ait: regions[ait].moments)
120 if args.convexity or args.all_features: 120 if args.convexity or args.all_features:
121 df['convexity'] = df.area/(df.perimeter*df.perimeter) 121 perimeter = df['it'].map(lambda ait: regions[ait].perimeter)
122 area = df['it'].map(lambda ait: regions[ait].area)
123 df['convexity'] = area/(perimeter*perimeter)
122 124
123 del df['it'] 125 del df['it']
124 df.to_csv(out_file, sep='\t', line_terminator='\n', index=False) 126 df.to_csv(out_file, sep='\t', line_terminator='\n', index=False)