X-Git-Url: https://git.donarmstrong.com/?a=blobdiff_plain;f=survey%2Fmakestats;h=c67a3ad72cca630a895c8eab704c6897ff551e20;hb=HEAD;hp=b4b2328cdc2d61f601d1c9b6f1c54293e1d0d0d5;hpb=bfd5c22188b65aa754168d5b4bfefa46562a95f8;p=neurodebian.git diff --git a/survey/makestats b/survey/makestats index b4b2328..c67a3ad 100755 --- a/survey/makestats +++ b/survey/makestats @@ -1,6 +1,6 @@ #!/usr/bin/python +# emacs: -*- coding: utf-8; mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- -from mvpa.misc.plot.base import plot_bars from glob import glob try: from json import load as jload @@ -15,6 +15,14 @@ import pylab as pl import numpy as np import time +from common import entries_to_refresh +fresh_keys = [k + for k, (regex, b) in + reduce(list.__add__,[x.items() + for x in entries_to_refresh['sw_other_name'].values()], + []) + if b] + # uniform colors for OS results os_colors = ['#AA2029', '#D1942B', '#7FB142', '#69A7CE'] os_order = ['linux', 'mac', 'win', 'otheros'] @@ -44,7 +52,7 @@ resource_categories = { 'pypi': 'PyPi', 'pythonbundles': 'Python bundles', 'sourceforge': 'Sourceforge', - 'other': 'Other resource' + 'otherres': 'Other resource' } # software categories sw_categories = { @@ -57,7 +65,7 @@ sw_categories = { 'bci': 'Brain-computer interface', 'acq': 'Hardware interface/Data acquisition', 'rt': 'Real-time solutions', - 'psychophys': 'Psychophysics/Experiment control' + 'psychphys': 'Psychophysics/Experiment control' } # some meaningful groups of OSes @@ -65,7 +73,7 @@ redhat_family = ["rhel", "centos", "fedora", "scilinux"] debian_family = ["debian", "ubuntu", "biolinux"] suse_family = ["suse", "slel"] other_linux_family = ["gentoo", "mandriva", "arch", "slackware", "otherlinux"] -other_family = ["starbsd", "unix", "qnx", "beos", "solaris", "other"] +other_family = ["starbsd", "unix", "qnx", "beos", "solaris", "other", "dontknow"] os_cat_names = { 'win': 'Windows', @@ -153,13 +161,18 @@ class DB(dict): missing += 1 return val, missing - def get_counts(self, key): + def get_counts(self, key, predef_keys=None): # return a dict with field values as keys and respective submission # count as value vals = self.get_not_none(key)[0] uniq = np.unique(vals) counts = dict(zip(uniq, [vals.count(u) for u in uniq])) - return counts + if not predef_keys is None: + ret = dict(zip(predef_keys, [0] * len(predef_keys))) + else: + ret = {} + ret.update(counts) + return ret def select_match(self, key, values): # return a db with all submissions were a field id has one of the @@ -176,16 +189,33 @@ class DB(dict): match[k] = v return match + def select_match_exactly(self, key, values): + # return a db with all submissions were a field id has value + # equal to the supplied + match = DB(None) + set_values = set(values) + for k, v in self.items(): + if not key in v: + continue + el = v[key] + if isinstance(el, list): + if set(el) == set_values: + match[k] = v + elif set([el]) == set_values: + match[k] = v + return match + def get_nice_name(self, id): srcs = [DB.os_dict, os_cat_names, DB.sw_dict, sw_categories, resource_categories, time_categories, DB.datamod_dict, DB.position_dict, DB.employer_dict, - DB.vm_dict] + DB.vm_dict, DB.ratings_dict] + suffix = u'$^†$' if id in fresh_keys else '' for src in srcs: if id in src: - return src[id] + return src[id] + suffix # not found, nothing nicer - return id + return id + suffix def mkpic_os_per_env(db, destdir): @@ -205,19 +235,21 @@ def mkpic_os_per_env(db, destdir): stats[osf] = float(stats[osf]) / total_count env_stats[env] = stats # make stacked barplot - pl.figure(figsize=(6.4, 4.8)) + pl.figure(figsize=(7.5, 4)) x = np.arange(len(envs)) bottoms = np.zeros(len(envs)) for i, os in enumerate(os_order): - stat = [env_stats[e][os] for e in envs] - pl.bar(x, stat, bottom=bottoms, color=os_colors[i], - label=db.get_nice_name(os), width=0.8) + stat = [env_stats[e][os] for e in envs[::-1]] + pl.barh(x, stat, left=bottoms, color=os_colors[i], + label=db.get_nice_name(os), height=0.8) bottoms += stat - pl.legend(loc='lower right') - pl.xticks(x + 0.4, [db.get_nice_name(e) for e in env_names]) - pl.xlim(-0.25, len(envs)) + pl.legend(loc='center left') + pl.yticks(x + 0.4, env_names[::-1]) + pl.ylim(-0.25, len(envs)) + pl.xlim(0,1) pl.title("Operating system preference by environment") - pl.ylabel("Fraction of submissions") + pl.xlabel("Fraction of submissions") + pl.subplots_adjust(left=0.15, right=0.97) pl.savefig('%s/ospref_by_env.png' % destdir, format='png', dpi=80) @@ -237,12 +269,12 @@ def mkpic_time_per_env(db, destdir): x = np.arange(len(envs)) bottoms = np.zeros(len(envs)) for i, t in enumerate(time_order): - stat = [env_stats[e][t] for e in envs] + stat = [env_stats[e][t] for e in envs[::-1]] pl.barh(x, stat, left=bottoms, color=time_colors[i], label=db.get_nice_name(t), height=.6) bottoms += stat - pl.legend(loc='center left') - pl.yticks(x + 0.2, env_names) + pl.legend(loc='lower left') + pl.yticks(x + 0.2, env_names[::-1]) pl.ylim(-0.4, len(envs)) pl.title("Research activity time by environment") pl.xlabel("Fraction of submissions") @@ -254,7 +286,8 @@ def mkpic_submissions_per_key(db, destdir, key, title, sortby='name', multiple=False): counts = db.get_counts(key) pl.figure(figsize=(6.4, (len(counts)-2) * 0.4 + 2)) - tmargin = .8/len(counts) + if not len(counts): tmargin = 0.4 + else: tmargin = .8/len(counts) if tmargin > 0.3: tmargin = 0.3 pl.subplots_adjust(left=0.03, right=0.97, top=1-tmargin, bottom=tmargin) pl.title(title) @@ -275,7 +308,7 @@ def mkpic_submissions_per_key(db, destdir, key, title, sortby='name', pl.yticks(x + 0.5, ['' for s in stats]) text_offset = pl.gca().get_xlim()[1] / 30. for i, s in enumerate(stats[::-1]): - pl.text(text_offset, i+.5, db.get_nice_name(s[0]), + pl.text(text_offset, i+.5, db.get_nice_name(s[0]) + " [%d]" % (s[1],), horizontalalignment='left', verticalalignment='center', bbox=dict(facecolor='white', alpha=0.8, edgecolor='white')) @@ -287,30 +320,16 @@ def mkpic_submissions_per_key(db, destdir, key, title, sortby='name', pl.savefig('%s/submissions_per_%s.png' % (destdir, key), format='png', dpi=80) -def mkpic_resources(db, destdir): - res = db.get_counts('software_resource') - res = res.items() - x = np.arange(len(res)) - pl.figure(figsize=(6.4, 4.8)) - pl.title('Software resources') - pl.bar(x + (1./8), [s[1] for s in res], width=0.75, color = '#008200') - pl.xticks(x + 0.5, ['' for s in res]) - for i, s in enumerate(res): - pl.text(i+.5, 0.1, db.get_nice_name(s[0]), rotation=90, - horizontalalignment='center', - verticalalignment='bottom', - bbox=dict(facecolor='white', alpha=0.8, edgecolor='white')) - pl.ylabel('Number of submissions') - pl.savefig('%s/software_resources.png' % destdir, format='png', dpi=80) - def mkpic_software(db, destdir): for typ in sw_categories.keys(): mkpic_submissions_per_key( db, destdir, 'sw_%s' % typ, title="Software popularity: %s" % db.get_nice_name(typ), - sortby='name') + sortby='count') def mkpic_rating_by_os(db, env, items, destdir, title): + from mvpa.misc.plot.base import plot_bars + pl.figure(figsize=(6.4, 4.8)) for i, os in enumerate(os_order): ratings = [db.select_match(env, @@ -326,19 +345,136 @@ def mkpic_rating_by_os(db, env, items, destdir, title): pl.legend(loc='lower right') pl.savefig('%s/ratings_%s.png' % (destdir, env), format='png', dpi=80) +def mkpic_rating_by_os_hor_joined(db, env, items, destdir='.', title=None, + intro_sentence="I agree with the statements", + suffix='', max_rating=4): + per_os_width = 1 + #pl.figure(figsize=(6.4, 4.8)) + if max_rating is None: + assert(len(items) == 1) + # We need to query for it + field = items[0] + max_rating = np.max([db[k][field] for k in db if field in db[k]]) + 1 + print "max ", max_rating + nos = len(os_order) + rst = open('figures/ratings_%s%s.rst' % (env, suffix), 'w') + rst.write(""" + +%s +%s + +%s + +.. raw:: html + + + """ % (title, '=' * len(title), intro_sentence)) + for k, it in enumerate(items): + if k == 0: + pl.figure(figsize=(3.2, 0.75)) + else: + pl.figure(figsize=(3.2, 0.5)) + it_nice = db.get_nice_name(it)#.lstrip('.').lstrip(' ') + it_nice = it_nice[0].upper() + it_nice[1:] + for i, os in enumerate(os_order): + ratings = np.array(db.select_match(env, + os_family[os]).get_not_none('%s' % (it,))[0]) + #if len(ratings): + # assert(max(ratings) < max_rating) + # Complement with errorbar + if len(ratings): + scaling = float(per_os_width)/(max_rating-1) + meanstat = np.mean(ratings) + meanstat_point = scaling * meanstat + # standard error of estimate + errstat_point = len(ratings) > 1 and scaling*np.std(ratings)/np.sqrt(len(ratings)-1) or 0 + #print ratings, meanstat, meanstat_point, errstat_point + if True: + # Beautiful piece not yet appreciated by the audience + total = len(ratings) + bottom = 0 + max_rating_max = max(max_rating, max(ratings)+1) + for r in sorted(set(ratings)):#range(max_rating_max): + stat = np.sum(ratings == r) * meanstat_point / float(total) + #print r, it, os, stat, total + #if it == "pers_r8" and os == "linux" and r == 3: + # import pydb; pydb.debugger() + kwargs = dict(label=None) + if stat: + pl.barh(1.0/nos * (nos - 1 - i), stat, left=bottom, color=os_colors[i], + height=.25, alpha=1./max_rating_max + r/float(max_rating_max), + label=None, + edgecolor=os_colors[i]) + bottom += stat + else: + pl.barh(1.0/nos * (nos - 1 - i), meanstat_point, left=0, + color=os_colors[i], height=.25, alpha=1.0, label=None) + pl.errorbar([meanstat_point], + [1.0/nos * (nos - 0.5 - i)], + xerr=[errstat_point], fmt='o', color=os_colors[i], ecolor='k') + pl.xlim((0, per_os_width)) + if k == 0 and max_rating == 4: # ad-hoc: only for those disagree/agree + pl.text(0, 1.1, "Disagree", horizontalalignment='left') + pl.text(per_os_width, 1.1, "Agree", horizontalalignment='right') + pl.ylim((0, 1.5)) + else: + pl.ylim((0, 1)) + pl.axis('off') + pl.subplots_adjust(left=0.00, right=1., bottom=0.0, top=1, + wspace=0.05, hspace=0.05) + fname = '%s/ratings_%s_%s%s.png' % (destdir, env, it, suffix) + pl.savefig(fname, format='png', dpi=80) + pl.close() + oddrow_s = k % 2 == 0 and ' class="oddrow"' or '' + rst.write(""" + + + """ + % (locals())) + + rst.write(""" +
%(it_nice)s%(fname)s
+ + """) + rst.close() + return + def main(srcdir, destdir): db = DB(srcdir) + if False: + ## Plot maintenance time per each group + # assess what would be our range + pmts, _ = db.get_not_none('pers_maint_time') + max_rating = int(np.mean(pmts) + np.std(pmts)) + for pos in db.get_unique('bg_position'): + print pos + mkpic_rating_by_os_hor_joined(db.select_match('bg_position', pos), + 'pers_os', ['pers_maint_time'], destdir, + "Personal environment", "", suffix='_maint_time_%s' % pos, + max_rating=max_rating) + + ## db2 = db + # custom selection for people dealing more with hardware + # any electrophys + ## db = db2.select_match('bg_datamod', (('ephys'),)) + # or only selected ones (so no fmri/pet etc) + ## db = db2.select_match_exactly('bg_datamod', (('ephys'), ('behav'),)) + ## db.update(db2.select_match_exactly('bg_datamod', (('ephys'),))) + ## db.update(db2.select_match_exactly('bg_datamod', (('ephys'), ('genetic'),))) + ## db.update(db2.select_match_exactly('bg_datamod', (('ephys'), ('simulation'),))) + ## db.update(db2.select_match_exactly('bg_datamod', (('ephys'), ('meeg'),))) + if not os.path.exists(destdir): os.makedirs(destdir) mkpic_submissions_per_key( - db, destdir, 'virt_prod', sortby='name', - title='Virtualization product popularity\n(multiple choices per submission possible)') + db, destdir, 'virt_prod', sortby='count', + title='Virtualization product popularity') mkpic_submissions_per_key( db, destdir, 'bg_datamod', sortby='count', - title='Submissions per data modality\n(multiple choices per submission possible)') + title='Submissions per data modality') mkpic_submissions_per_key( db, destdir, 'bg_position', title='Submissions per position', sortby='count') @@ -349,15 +485,26 @@ def main(srcdir, destdir): mkpic_submissions_per_key( db, destdir, 'bg_employer', title='Submissions per venue', sortby='count') - for pic in [mkpic_os_per_env, mkpic_software, - mkpic_resources, mkpic_time_per_env]: + mkpic_submissions_per_key( + db, destdir, 'software_resource', title='Software resource popularity', sortby='count') + + for pic in [mkpic_os_per_env, mkpic_software, mkpic_time_per_env]: pic(db, destdir) - mkpic_rating_by_os(db, 'pers_os', ['pers_r%i' % i for i in range(1, 9)], destdir, - "Ratings: Personal environment") - mkpic_rating_by_os(db, 'man_os', ['man_r%i' % i for i in range(1, 5)], destdir, - "Ratings: Managed environment") - mkpic_rating_by_os(db, 'virt_host_os', ['virt_r%i' % i for i in range(1, 4)], destdir, - "Ratings: Virtual environment (by host OS)") + + + mkpic_rating_by_os_hor_joined(db, 'pers_os', ['pers_r%i' % i for i in range(1, 9)], destdir, + "Personal environment", "I prefer this particular scientific software environment because ...") + mkpic_rating_by_os_hor_joined(db, 'man_os', ['man_r%i' % i for i in range(1, 6)], destdir, + "Managed environment") + mkpic_rating_by_os_hor_joined(db, 'virt_host_os', ['virt_r%i' % i for i in range(1, 5)], destdir, + "Virtual environment (by host OS)") + mkpic_rating_by_os_hor_joined(db, 'virt_guest_os', ['virt_r%i' % i for i in range(1, 5)], destdir, + "Virtual environment (by guest OS)") + + ## mkpic_rating_by_os_hor_joined(db.select_match('virt_prod', (('vmware'),)), + ## 'virt_host_os', ['virt_r%i' % i for i in range(1, 5)], destdir, + ## "Virtualbox virtual environment (by host OS)") + # submission stats: this is RST statsfile = open('%s/stats.txt' % destdir, 'w') statsfile.write('::\n\n Number of submissions: %i\n' % len(db)) @@ -367,3 +514,4 @@ def main(srcdir, destdir): if __name__ == '__main__': main(sys.argv[1], sys.argv[2]) + #main('dataout', 'figures')