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'])
)
