In [1]:

    

%matplotlib inline

import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(style="whitegrid", color_codes=True)


    

    




/Users/felixgonda/ipythonenv/lib/python2.7/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))

In [18]:

    

titanic = sns.load_dataset("titanic")
print type(titanic)
titanic.head()


    

    




<class 'pandas.core.frame.DataFrame'>






    
Out[18]:






  

    

      

      
survived
      
pclass
      
sex
      
age
      
sibsp
      
parch
      
fare
      
embarked
      
class
      
who
      
adult_male
      
deck
      
embark_town
      
alive
      
alone
    
  
  

    

      
0
      
0
      
3
      
male
      
22
      
1
      
0
      
7.2500
      
S
      
Third
      
man
      
True
      
NaN
      
Southampton
      
no
      
False
    
    

      
1
      
1
      
1
      
female
      
38
      
1
      
0
      
71.2833
      
C
      
First
      
woman
      
False
      
C
      
Cherbourg
      
yes
      
False
    
    

      
2
      
1
      
3
      
female
      
26
      
0
      
0
      
7.9250
      
S
      
Third
      
woman
      
False
      
NaN
      
Southampton
      
yes
      
True
    
    

      
3
      
1
      
1
      
female
      
35
      
1
      
0
      
53.1000
      
S
      
First
      
woman
      
False
      
C
      
Southampton
      
yes
      
False
    
    

      
4
      
0
      
3
      
male
      
35
      
0
      
0
      
8.0500
      
S
      
Third
      
man
      
True
      
NaN
      
Southampton
      
no
      
True
    
  

In [2]:

    

df=pd.read_csv('prob1.seg', sep=':')


    

In [ ]:

    




    

In [37]:

    

df=pd.read_csv('results.txt', sep=':')
passes = [(i+1) for i in df.index]
df.insert(0, 'image', passes)


    

In [38]:

    

df.head()


    

    
Out[38]:






  

    

      

      
image
      
Test
      
Validation
      
Membrane
      
PixelError
      
VariationInfo
    
  
  

    

      
0
      
1
      
/home/fgonda/icon/data/reference/images/test/t...
      
/home/fgonda/icon/data/reference/labels/test/t...
      
/home/fgonda/icon/data/reference/labels/membra...
      
0.374572
      
1.250404
    
    

      
1
      
2
      
/home/fgonda/icon/data/reference/images/test/a...
      
/home/fgonda/icon/data/reference/labels/test/a...
      
/home/fgonda/icon/data/reference/labels/membra...
      
0.355991
      
1.727361
    
    

      
2
      
3
      
/home/fgonda/icon/data/reference/images/test/a...
      
/home/fgonda/icon/data/reference/labels/test/a...
      
/home/fgonda/icon/data/reference/labels/membra...
      
0.402710
      
2.355627
    
    

      
3
      
4
      
/home/fgonda/icon/data/reference/images/test/t...
      
/home/fgonda/icon/data/reference/labels/test/t...
      
/home/fgonda/icon/data/reference/labels/membra...
      
0.373307
      
1.162565
    
    

      
4
      
5
      
/home/fgonda/icon/data/reference/images/test/t...
      
/home/fgonda/icon/data/reference/labels/test/t...
      
/home/fgonda/icon/data/reference/labels/membra...
      
0.372207
      
0.858294
    
  

In [27]:

    

#df.index


    

In [ ]:

    




    

In [39]:

    

sns.pointplot(x="image", y="VariationInfo", data=df,
              markers=["o"], linestyles=["-"]);


    

In [41]:

    

sns.pointplot(x="image", y="PixelError", data=df,
              markers=["o"], linestyles=["-"]);