summary, labels = summarize_ranks( mongo['article'], labels, min_prop=0.05, ) ranks = order.analyze_rank_order(summary, mongo['article']) ranks_spm = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'spm'}) ranks_fsl = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'fsl'}) ranks_afni = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'afni'}) seqplot.rank_plot(ranks, outname=file_name(['seq'], path='seq')) seqplot.multi_rank_plot(ranks, [ 'spm', 'fsl', 'afni', ], [ ranks_spm, ranks_fsl, ranks_afni, ], outname=file_name(['seq', 'pkg'], path='seq')) #years = range(2000, 2014) #ranks_year = [] #
if label not in ['highpass_cutoff', 'smooth_kernel'] ] labels = list(set(labels)) summary, labels = summarize_ranks( mongo['article'], labels, min_prop=0.05, ) ranks = order.analyze_rank_order(summary, mongo['article']) ranks_spm = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'spm'}) ranks_fsl = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'fsl'}) ranks_afni = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'afni'}) seqplot.rank_plot(ranks, outname=file_name(['seq'], path='seq')) seqplot.multi_rank_plot( ranks, [ 'spm', 'fsl', 'afni', ], [ ranks_spm, ranks_fsl, ranks_afni, ], outname=file_name(['seq', 'pkg'], path='seq') )
if label not in ['highpass_cutoff', 'smooth_kernel'] ] labels = list(set(labels)) summary, labels = summarize_ranks( mongo['article'], labels, min_prop=0.05, ) ranks = order.analyze_rank_order(summary, mongo['article']) ranks_spm = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'spm'}) ranks_fsl = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'fsl'}) ranks_afni = order.analyze_rank_order(summary, mongo['article'], {'tags.label': 'afni'}) seqplot.rank_plot(ranks, outname=file_name(['seq'])) seqplot.multi_rank_plot( ranks, [ 'spm', 'fsl', 'afni', ], [ ranks_spm, ranks_fsl, ranks_afni, ], outname=file_name(['seq', 'pkg']) )