From 6a0b47a2fc7c4e800f14212ae81dbd56de17fa94 Mon Sep 17 00:00:00 2001 From: AdeB Date: Sat, 25 Apr 2015 10:09:01 -0400 Subject: Data analysis updated for the new Dataset class. Coordinates are saved in a light numpy array for fast/light retrieval. --- alex/plots.py | 29 ----------------------------- 1 file changed, 29 deletions(-) delete mode 100644 alex/plots.py (limited to 'alex/plots.py') diff --git a/alex/plots.py b/alex/plots.py deleted file mode 100644 index e405480..0000000 --- a/alex/plots.py +++ /dev/null @@ -1,29 +0,0 @@ -import matplotlib.pyplot as plt -import numpy -import cPickle -import scipy - -print "Loading data..." -with open("train_normal.pkl") as f: normal = cPickle.load(f) - -print "Extracting x and y" -xes = [c[0] for l in normal for c in l[-1]] -yes = [c[1] for l in normal for c in l[-1]] - -xrg = [-8.75, -8.55] -yrg = [41.05, 41.25] - -print "Doing 1d histogram" -#plt.clf(); plt.hist(xes, bins=1000, range=xrg); plt.savefig("xhist.pdf") -#plt.clf(); plt.hist(yes, bins=1000, range=yrg); plt.savefig("yhist.pdf") - -print "Doing 2d histogram" -#plt.clf(); plt.hist2d(xes, yes, bins=500, range=[xrg, yrg]); plt.savefig("xymap.pdf") - -hist, xx, yy = numpy.histogram2d(xes, yes, bins=2000, range=[xrg, yrg]) - -import ipdb; ipdb.set_trace() - -plt.clf(); plt.imshow(numpy.log(hist)); plt.savefig("xyhmap.pdf") - -scipy.misc.imsave("xymap.png", numpy.log(hist)) -- cgit v1.2.3