In [1]:

    

%load_ext watermark
%watermark -v -n -m -p numpy,scipy,sklearn,pandas
%load_ext autoreload
%autoreload 1


    

    




Mon May 29 2017 

CPython 3.5.3
IPython 6.0.0

numpy 1.12.1
scipy 0.19.0
sklearn 0.18.1
pandas 0.20.1

compiler   : MSC v.1900 64 bit (AMD64)
system     : Windows
release    : 7
machine    : AMD64
processor  : Intel64 Family 6 Model 69 Stepping 1, GenuineIntel
CPU cores  : 4
interpreter: 64bit

In [2]:

    

%matplotlib inline
import pandas as pd
import numpy as np
import seaborn as sns
import os
PROJ_ROOT = os.path.abspath(os.path.join(os.pardir))
print(PROJ_ROOT)


    

    




c:\code\overcome-the-chaos

In [3]:

    

import sys
sys.path.append(os.path.join(PROJ_ROOT, 'src'))
%aimport data.preprocess
%aimport visualization.exploratory
from data.preprocess import read_raw_data, preprocess_data
from visualization.exploratory import exploratory_visualization


    

    




C:\Users\bednarsm\AppData\Local\Continuum\Anaconda3\envs\chaos\lib\site-packages\matplotlib\__init__.py:1405: UserWarning: 
This call to matplotlib.use() has no effect because the backend has already
been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
or matplotlib.backends is imported for the first time.

  warnings.warn(_use_error_msg)

In [4]:

    

data_fname = os.path.join(PROJ_ROOT, 'data', 'raw', 'iris.csv')
raw_data = read_raw_data(data_fname)
raw_data.head()


    

    
Out[4]:







  

    

      

      
0
      
1
      
2
      
3
      
4
    
  
  

    

      
0
      
5.1
      
3.5
      
1.4
      
0.2
      
Iris-setosa
    
    

      
1
      
4.9
      
3.0
      
1.4
      
0.2
      
Iris-setosa
    
    

      
2
      
4.7
      
3.2
      
1.3
      
0.2
      
Iris-setosa
    
    

      
3
      
4.6
      
3.1
      
1.5
      
0.2
      
Iris-setosa
    
    

      
4
      
5.0
      
3.6
      
1.4
      
0.2
      
Iris-setosa
    
  

In [5]:

    

preprocessed_data = preprocess_data(raw_data)
preprocessed_data.head()


    

    
Out[5]:







  

    

      

      
x0
      
x1
      
x2
      
x3
      
y
    
  
  

    

      
0
      
5.1
      
3.5
      
1.4
      
0.2
      
Iris-setosa
    
    

      
1
      
4.9
      
3.0
      
1.4
      
0.2
      
Iris-setosa
    
    

      
2
      
4.7
      
3.2
      
1.3
      
0.2
      
Iris-setosa
    
    

      
3
      
4.6
      
3.1
      
1.5
      
0.2
      
Iris-setosa
    
    

      
4
      
5.0
      
3.6
      
1.4
      
0.2
      
Iris-setosa
    
  

In [8]:

    

exploratory_visualization(preprocessed_data)


    

    




C:\Users\bednarsm\AppData\Local\Continuum\Anaconda3\envs\chaos\lib\site-packages\matplotlib\__init__.py:1405: UserWarning: 
This call to matplotlib.use() has no effect because the backend has already
been chosen; matplotlib.use() must be called *before* pylab, matplotlib.pyplot,
or matplotlib.backends is imported for the first time.

  warnings.warn(_use_error_msg)






    
Out[8]:





<seaborn.axisgrid.PairGrid at 0xe189668>






    

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