Пример #1
0
def hist_number_of_words(nfvs):
    total = len(nfvs)
    nwords = [x['note_words'] for x in nfvs.values()]
    stats = s(nwords)
    cap.hist2(
        nwords,
        breaks=[
            0, 1, 5, 10, 20, 30, 40, 50, 100, 200, 500, 1000, 2000, 5000, 10000
        ],
        filename="/var/www/listit-study/n-words.png",
        xlab="number of words",
        title=
        "words per note [df:%d] (min:0, max:%g, mean:%g, median:%g, var:%g)" %
        (total - 1, stats[1], stats[2], stats[3], stats[4]),
        ylab="Notes (out of %d)" % total)
    cap.loghist(
        nwords,
        breaks=[
            0, 1, 5, 10, 20, 30, 40, 50, 100, 200, 500, 1000, 2000, 5000, 10000
        ],
        filename="/var/www/listit-study/n-logwords.png",
        xlab="number of words",
        title=
        "words per note [df:%d] (min:0, max:%g, mean:%g, median:%g, var:%g)" %
        (total - 1, stats[1], stats[2], stats[3], stats[4]),
        ylab="Notes (out of %d)" % total)
Пример #2
0
def hist_edit_distance(nfs):
    total = len(nfs)
    ndist = [n["edit_distance"] for n in nfs.values()]
    stats = s(ndist)
    cap.loghist( ndist,
              breaks=[0,1,5,10,20,30,40,50,100,200,500,1000,10000],
              filename="/var/www/listit-study/edit-distances.png",
              xlab="edit distance (chars)",
              title="edit distance[%d] (min:0, max:%g, mean:%g, median:%g, var:%g)" % (total-1,stats[1],stats[2],stats[3],stats[4]),
              ylab="edits (out of %d)" % total  )
Пример #3
0
def hist_edit_distance(nfs):
    total = len(nfs)
    ndist = [n["edit_distance"] for n in nfs.values()]
    stats = s(ndist)
    cap.loghist(
        ndist,
        breaks=[0, 1, 5, 10, 20, 30, 40, 50, 100, 200, 500, 1000, 10000],
        filename="/var/www/listit-study/edit-distances.png",
        xlab="edit distance (chars)",
        title="edit distance[%d] (min:0, max:%g, mean:%g, median:%g, var:%g)" %
        (total - 1, stats[1], stats[2], stats[3], stats[4]),
        ylab="edits (out of %d)" % total)
Пример #4
0
def hist_capped_number_of_words(nfvs,cap=300):
    total = len(nfvs)
    nwords = [x['note_words'] for x in nfvs.values() if x['note_words'] < cap]
    stats = s(nwords)
    cap.hist2( nwords,
              breaks=[0,1,5,10,20,30,40,50,100,200,300],
              filename="/var/www/listit-study/n-words.png",
              xlab="number of words",
              title="words per note [df:%d] (min:0, max:%g, mean:%g, median:%g, var:%g)" % (total-1,stats[1],stats[2],stats[3],stats[4]),
              ylab="Notes (out of %d)" % total  )
    cap.loghist( nwords,
              breaks=[0,1,5,10,20,30,40,50,100,200,500,1000,2000,5000,10000],
              filename="/var/www/listit-study/n-logwords.png",
              xlab="number of words",
              title="words per note [df:%d] (min:0, max:%g, mean:%g, median:%g, var:%g)" % (total-1,stats[1],stats[2],stats[3],stats[4]),
              ylab="Notes (out of %d)" % total  )