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phwitte
DataScienceSWP
Commits
468e9ace
Commit
468e9ace
authored
7 years ago
by
krzok
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468e9ace
import
matplotlib.pyplot
as
plt
import
matplotlib
import
math
from
matplotlib.gridspec
import
GridSpec
import
csv
INPUT
=
"
avgGen_mutHigh_food_2_64.csv
"
INPUT2
=
"
avgGen_mutHigh_food_32_4.csv
"
INPUT3
=
"
avgGen_mutLow_food_2_64.csv
"
INPUT4
=
"
avgGen_mutLow_food_32_4.csv
"
INPUTP
=
"
avgGen_mutHigh_pred_45_140.csv
"
INPUTP2
=
"
avgGen_mutHigh_pred_135_70.csv
"
INPUTP3
=
"
avgGen_mutLow_pred_45_140.csv
"
INPUTP4
=
"
avgGen_mutLow_pred_135_70.csv
"
INPUTL
=
"
avgDeltaPref.csv
"
INPUTL1
=
"
conf_1.csv
"
INPUTL2
=
"
conf_5.csv
"
INPUTL3
=
"
conf_10.csv
"
INPUTL4
=
"
conf_15.csv
"
INPUTL5
=
"
conf_-10_3_1.csv
"
INPUTL6
=
"
conf_-10_4_3.csv
"
INPUTL7
=
"
conf_-10_5_5.csv
"
INPUTL8
=
"
conf_11_3_1.csv
"
INPUTL9
=
"
conf_11_4_3.csv
"
INPUTL10
=
"
conf_11_5_5.csv
"
INPUTL11
=
"
conf_-11_3_1.csv
"
INPUTL12
=
"
conf_-11_4_3.csv
"
INPUTL13
=
"
conf_-11_5_5.csv
"
def
parseanddrawfood
():
global
INPUT
matplotlib
.
rcParams
.
update
({
'
font.size
'
:
5
})
s
=
"
high mut small clust
"
i
=
0
maxis
=
8
plt
.
figure
(
1
)
height
=
math
.
ceil
(
maxis
/
2
)
width
=
2
gs
=
GridSpec
(
height
,
width
)
axeslist
=
[]
for
j
in
range
(
maxis
):
axeslist
.
append
(
plt
.
subplot
(
gs
[
j
]))
for
a1
,
a2
in
zip
(
axeslist
[
0
::
2
],
axeslist
[
1
::
2
]):
speed
=
[]
foodpref
=
[]
noise
=
[]
antipred
=
[]
timeneeded
=
[]
zoa
=
[]
zoo
=
[]
blind
=
[]
turn
=
[]
with
open
(
INPUT
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
speed
.
append
(
float
(
row
[
"
Speed
"
]))
foodpref
.
append
(
float
(
row
[
"
food pref
"
]))
noise
.
append
(
float
(
row
[
"
noise
"
]))
antipred
.
append
(
float
(
row
[
"
antipred
"
]))
zoa
.
append
(
float
(
row
[
"
zoa
"
]))
zoo
.
append
(
float
(
row
[
"
zoo
"
]))
blind
.
append
(
float
(
row
[
"
blind
"
]))
turn
.
append
(
float
(
row
[
"
turn
"
]))
timeneeded
.
append
(
float
(
row
[
"
timeNeeded
"
]))
a1
.
set_ylabel
(
s
)
a2
.
set_ylabel
(
s
)
a1
.
plot
(
speed
,
label
=
"
Speed
"
)
a1
.
plot
(
foodpref
,
label
=
"
Foodpref
"
)
a1
.
plot
(
noise
,
label
=
"
Noise
"
)
a1
.
plot
(
antipred
,
label
=
"
antipred
"
)
a2
.
plot
(
timeneeded
,
label
=
"
time
"
)
a2
.
plot
(
zoa
,
label
=
"
zoa
"
)
a2
.
plot
(
zoo
,
label
=
"
zoo
"
)
a2
.
plot
(
blind
,
label
=
"
blind
"
)
a2
.
plot
(
turn
,
label
=
"
turn
"
)
a1
.
legend
(
loc
=
"
upper left
"
)
a2
.
legend
(
loc
=
"
upper left
"
)
if
i
==
0
:
INPUT
=
INPUT2
s
=
"
high mut big clust
"
s
=
"
high mut big clust
"
elif
i
==
1
:
INPUT
=
INPUT3
s
=
"
low mut small clust
"
s
=
"
low mut small clust
"
elif
i
==
2
:
INPUT
=
INPUT4
s
=
"
low mut big clust
"
s
=
"
low mut big clust
"
elif
i
==
3
:
True
elif
i
==
4
:
True
i
+=
1
plt
.
show
()
def
parseanddrawpred
():
global
INPUTP
matplotlib
.
rcParams
.
update
({
'
font.size
'
:
5
})
s
=
"
high mut good Pred
"
i
=
0
maxis
=
8
plt
.
figure
(
2
)
height
=
math
.
ceil
(
maxis
/
2
)
width
=
2
gs
=
GridSpec
(
height
,
width
)
axeslist
=
[]
for
j
in
range
(
maxis
):
axeslist
.
append
(
plt
.
subplot
(
gs
[
j
]))
for
a1
,
a2
in
zip
(
axeslist
[
0
::
2
],
axeslist
[
1
::
2
]):
speed
=
[]
foodpref
=
[]
noise
=
[]
antipred
=
[]
timeneeded
=
[]
zoa
=
[]
zoo
=
[]
blind
=
[]
turn
=
[]
with
open
(
INPUTP
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
speed
.
append
(
float
(
row
[
"
Speed
"
]))
foodpref
.
append
(
float
(
row
[
"
food pref
"
]))
noise
.
append
(
float
(
row
[
"
noise
"
]))
antipred
.
append
(
float
(
row
[
"
antipred
"
]))
zoa
.
append
(
float
(
row
[
"
zoa
"
]))
zoo
.
append
(
float
(
row
[
"
zoo
"
]))
blind
.
append
(
float
(
row
[
"
blind
"
]))
turn
.
append
(
float
(
row
[
"
turn
"
]))
timeneeded
.
append
(
float
(
row
[
"
timeNeeded
"
]))
a1
.
set_ylabel
(
s
)
a2
.
set_ylabel
(
s
)
a1
.
plot
(
speed
,
label
=
"
Speed
"
)
a1
.
plot
(
foodpref
,
label
=
"
Foodpref
"
)
a1
.
plot
(
noise
,
label
=
"
Noise
"
)
a1
.
plot
(
antipred
,
label
=
"
antipred
"
)
#a2.plot(timeneeded,label = "time")
a2
.
plot
(
zoa
,
label
=
"
zoa
"
)
a2
.
plot
(
zoo
,
label
=
"
zoo
"
)
a2
.
plot
(
blind
,
label
=
"
blind
"
)
a2
.
plot
(
turn
,
label
=
"
turn
"
)
a1
.
legend
(
loc
=
"
upper left
"
)
a2
.
legend
(
loc
=
"
upper left
"
)
if
i
==
0
:
INPUTP
=
INPUTP2
s
=
"
high mut bad Pred
"
elif
i
==
1
:
INPUTP
=
INPUTP3
s
=
"
low mut good Pred
"
elif
i
==
2
:
INPUTP
=
INPUTP4
s
=
"
low mut bad Pred
"
elif
i
==
3
:
True
elif
i
==
4
:
True
i
+=
1
plt
.
show
()
def
parseanddrawleader
():
global
INPUTL
matplotlib
.
rcParams
.
update
({
'
font.size
'
:
5
})
s
=
"
high mut good Pred
"
maxis
=
8
plt
.
figure
(
2
)
height
=
math
.
ceil
(
maxis
/
2
)
width
=
2
gs
=
GridSpec
(
height
,
width
)
axeslist
=
[]
i
=
1
INPUTL
=
INPUTL1
j
=
0
for
j
in
range
(
maxis
):
axeslist
.
append
(
plt
.
subplot
(
gs
[
j
]))
for
a
in
axeslist
:
avgdeltaangle
=
[]
confusion1
=
[]
confusion2
=
[]
confusion3
=
[]
confusion4
=
[]
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
if
i
==
0
:
avgdeltaangle
.
append
(
float
(
row
[
0
]))
if
i
>=
1
and
i
<=
4
:
confusion1
.
append
(
float
(
row
[
'
Confusion
'
]))
if
i
==
1
:
INPUTL
=
INPUTL2
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion2
.
append
(
float
(
row
[
'
Confusion
'
]))
INPUTL
=
INPUTL3
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion3
.
append
(
float
(
row
[
'
Confusion
'
]))
INPUTL
=
INPUTL4
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion4
.
append
(
float
(
row
[
'
Confusion
'
]))
if
i
==
2
:
INPUTL
=
INPUTL6
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion2
.
append
(
float
(
row
[
'
Confusion
'
]))
INPUTL
=
INPUTL7
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion3
.
append
(
float
(
row
[
'
Confusion
'
]))
if
i
==
3
:
INPUTL
=
INPUTL9
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion2
.
append
(
float
(
row
[
'
Confusion
'
]))
INPUTL
=
INPUTL10
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion3
.
append
(
float
(
row
[
'
Confusion
'
]))
if
i
==
4
:
INPUTL
=
INPUTL12
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion2
.
append
(
float
(
row
[
'
Confusion
'
]))
INPUTL
=
INPUTL13
with
open
(
INPUTL
,
'
r
'
)
as
csvfile
:
dreader
=
csv
.
DictReader
(
csvfile
)
for
row
in
dreader
:
confusion3
.
append
(
float
(
row
[
'
Confusion
'
]))
if
i
==
0
:
a
.
plot
(
avgdeltaangle
)
INPUTL
=
INPUTL1
elif
i
==
1
:
a
.
plot
(
confusion1
,
label
=
"
confusion1
"
)
a
.
plot
(
confusion2
,
label
=
"
confusion5
"
)
a
.
plot
(
confusion3
,
label
=
"
confusion10
"
)
a
.
plot
(
confusion4
,
label
=
"
confusion15
"
)
confusion1
=
[]
confusion2
=
[]
confusion3
=
[]
confusion4
=
[]
a
.
legend
(
loc
=
"
upper left
"
)
INPUTL
=
INPUTL5
elif
i
==
2
:
a
.
plot
(
confusion1
)
a
.
plot
(
confusion2
)
a
.
plot
(
confusion3
)
a
.
plot
(
confusion4
)
confusion1
=
[]
confusion2
=
[]
confusion3
=
[]
confusion4
=
[]
a
.
legend
(
loc
=
"
upper left
"
)
INPUTL
=
INPUTL8
elif
i
==
3
:
a
.
plot
(
confusion1
)
a
.
plot
(
confusion2
)
a
.
plot
(
confusion3
)
a
.
plot
(
confusion4
)
confusion1
=
[]
confusion2
=
[]
confusion3
=
[]
confusion4
=
[]
a
.
legend
(
loc
=
"
upper left
"
)
INPUTL
=
INPUTL11
elif
i
==
4
:
a
.
plot
(
confusion1
)
a
.
plot
(
confusion2
)
a
.
plot
(
confusion3
)
a
.
plot
(
confusion4
)
confusion1
=
[]
confusion2
=
[]
confusion3
=
[]
confusion4
=
[]
a
.
legend
(
loc
=
"
upper left
"
)
a
.
set_ylabel
(
s
)
i
+=
1
plt
.
show
()
parseanddrawleader
()
parseanddrawfood
()
parseanddrawpred
()
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