Mercurial > ift6266
annotate scripts/stat_graph.py @ 489:ee9836baade3
merge
author | dumitru@dumitru.mtv.corp.google.com |
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date | Mon, 31 May 2010 19:07:59 -0700 |
parents | 227ebc0be7ae |
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rev | line source |
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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1 import matplotlib |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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2 matplotlib.use('Agg') |
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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3 |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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4 from pylab import * |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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5 from scipy import stats |
c1df23c98eb6
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Arnaud Bergeron <abergeron@gmail.com>
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6 import numpy |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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7 from ift6266 import datasets |
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Arnaud Bergeron <abergeron@gmail.com>
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8 |
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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9 nistp_valid = stats.itemfreq(datasets.PNIST07().valid(10000000).next()[1]) |
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227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
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10 nistp_valid[:,1] /= sum(nistp_valid[:,1]) |
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Arnaud Bergeron <abergeron@gmail.com>
parents:
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11 nist_valid = stats.itemfreq(datasets.nist_all().valid(10000000).next()[1]) |
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227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
diff
changeset
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12 nist_valid[:,1] /= sum(nist_valid[:,1]) |
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
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13 nist_test = stats.itemfreq(datasets.nist_all().test(10000000).next()[1]) |
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227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
diff
changeset
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14 nist_test[:,1] /= sum(nist_test[:,1]) |
227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
diff
changeset
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15 nist_train = stats.itemfreq(datasets.nist_all().train(100000000).next()[1]) |
227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
diff
changeset
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16 nist_train[:,1] /= sum(nist_train[:,1]) |
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c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
diff
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17 |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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18 xloc = numpy.arange(62)+0.5 |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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19 |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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20 labels = map(str, range(10)) + map(chr, range(65,91)) + map(chr, range(97,123)) |
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21 |
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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22 def makegraph(data, fname, labels=labels, xloc=xloc, width=0.5): |
c1df23c98eb6
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parents:
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23 figure(figsize=(8,6)) |
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Arnaud Bergeron <abergeron@gmail.com>
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24 # clf() |
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Arnaud Bergeron <abergeron@gmail.com>
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25 bar(xloc, data, width=width) |
c1df23c98eb6
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Arnaud Bergeron <abergeron@gmail.com>
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26 xticks([]) |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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27 for x, l in zip(xloc, labels): |
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227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
diff
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28 text(x+width/2, -0.004, l, horizontalalignment='center', verticalalignment='baseline') |
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c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
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29 # xticks(xloc+width/2, labels, verticalalignment='bottom') |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
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30 xlim(0, xloc[-1]+width*2) |
451
227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
diff
changeset
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31 ylim(0, 0.1) |
450
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
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32 |
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
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33 savefig(fname) |
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New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
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34 |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
diff
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35 |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
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36 makegraph(nistp_valid[:,1], 'nistpvalidstats.png') |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
diff
changeset
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37 makegraph(nist_valid[:,1], 'nistvalidstats.png') |
c1df23c98eb6
New script to create histograms for datasets (for the report)
Arnaud Bergeron <abergeron@gmail.com>
parents:
diff
changeset
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38 makegraph(nist_test[:,1], 'nistteststats.png') |
451
227ebc0be7ae
Add a graph for the NIST training set and normalize the values.
Arnaud Bergeron <abergeron@gmail.com>
parents:
450
diff
changeset
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39 makegraph(nist_train[:,1], 'nisttrainstats.png') |