Data analysis updated for the new Dataset class. Coordinates are saved in a light numpy array for fast/light retrieval.

1 files changed, 29 insertions, 0 deletions

diff --git a/data_analysis/maps_old.py b/data_analysis/maps_old.py
new file mode 100644
index 0000000..adfe26c
--- /dev/null
+++ b/data_analysis/maps_old.py
@@ -0,0 +1,29 @@
+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))