In [15]:
import urllib2
import csv
import numpy
data = open('../data/data.csv', 'r').readlines()
fieldnames = ['x', 'y', 'z', 'unmasked', 'synapses']
reader = csv.reader(data)
reader.next()
rows = [[int(col) for col in row] for row in reader]
In [16]:
rows[0]
Out[16]:
In [20]:
mean = numpy.mean([r[-1] for r in rows])
no_um_mean = numpy.mean([r[-1] for r in rows if r[-2] == 0])
only_um_mean = numpy.mean([r[-1] for r in rows if r[-2] != 0])
In [22]:
print(mean, no_um_mean, only_um_mean)
In [23]:
var = numpy.var([r[-1] for r in rows])
no_um_var = numpy.var([r[-1] for r in rows if r[-2] == 0])
only_um_var = numpy.var([r[-1] for r in rows if r[-2] != 0])
In [24]:
print(var, no_um_var, only_um_var)