python data mining

前処理とデータ整形2 import scipy as sp data = sp.genfromtxt("/home/akira/Desktop/web_traffic.csv", delimiter="\t"); data x = data[:, 0]; y = data[:, 1] sp.sum(sp.isnan(y)) x = x[~sp.isnan(y)] y = y[~sp.isnan(y)]; sp.sum(sp.isnan(y)) l = len(x); print l plt = [] for k in xrange(l): plt += [(x[k], y[k])] scatter_plot(plt, markersize=1) 735 前処理とデータ整形2 -- Sage http://localhost:8080/home/admin/2/print 1 of 2 2015年05⽉02⽇ 12:57

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PythonとSageで書いたデータマイニングの入門です。

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前処理とデータ整形2

import scipy as spdata = sp.genfromtxt("/home/akira/Desktop/web_traffic.csv", delimiter="\t"); datax = data[:, 0]; y = data[:, 1]sp.sum(sp.isnan(y))x = x[~sp.isnan(y)]y = y[~sp.isnan(y)]; sp.sum(sp.isnan(y))l = len(x); print lplt = []for k in xrange(l): plt += [(x[k], y[k])]scatter_plot(plt, markersize=1)

735

前処理とデータ整形2 -- Sage http://localhost:8080/home/admin/2/print

1 of 2 2015年05⽉02⽇ 12:57