``````

In [5]:

plot(d)
m = d[:,0]
figure()
plot(m)

``````
``````

Out[5]:

[<matplotlib.lines.Line2D at 0x7f15d7b92090>]

``````
``````

In [6]:

last = 0
r=[]
for v in m:
if last != v:
r.append(v)
last=v

plot(r)

``````
``````

Out[6]:

[<matplotlib.lines.Line2D at 0x7f15d7af5dd0>]

``````
``````

In [9]:

print ("Mean: " + str(mean(r)))
print ("Median: " + str(median(r)))
stddev=sqrt(sum((r-median(r))**2)/size(r))
print ("Standard deviation: " + str(stddev))
hist(r)
xlabel("Value in free air")
ylabel("Count")

``````
``````

Mean: 210.634615385
Median: 210.0
Standard deviation: 2.17355905702

Out[9]:

<matplotlib.text.Text at 0x7f15d7f98e50>

``````

Initial sensor value in free air: 210+-2

``````

In [14]:

plot(d)

``````
``````

Out[14]:

[<matplotlib.lines.Line2D at 0x7f15d770e090>,
<matplotlib.lines.Line2D at 0x7f15d770e290>]

``````
``````

In [17]:

r=d[:,0]
print ("Mean: " + str(mean(r)))
print ("Median: " + str(median(r)))
stddev=sqrt(sum((r-median(r))**2)/size(r))
print ("Standard deviation: " + str(stddev))
hist(r)
xlabel("Value in free air")
ylabel("Count")

``````
``````

Mean: 211.450980392
Median: 211.0
Standard deviation: 1.99017193069

Out[17]:

<matplotlib.text.Text at 0x7f15d74d6850>

``````
``````

In [ ]:

``````