In [1]:

    

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(color_codes=True)
%matplotlib inline


    

In [2]:

    

df = pd.read_csv('iris.data')


    

In [3]:

    

df.head()


    

    
Out[3]:







  

    

      

      
5.1
      
3.5
      
1.4
      
0.2
      
Iris-setosa
    
  
  

    

      
0
      
4.9
      
3.0
      
1.4
      
0.2
      
Iris-setosa
    
    

      
1
      
4.7
      
3.2
      
1.3
      
0.2
      
Iris-setosa
    
    

      
2
      
4.6
      
3.1
      
1.5
      
0.2
      
Iris-setosa
    
    

      
3
      
5.0
      
3.6
      
1.4
      
0.2
      
Iris-setosa
    
    

      
4
      
5.4
      
3.9
      
1.7
      
0.4
      
Iris-setosa
    
  

In [4]:

    

df = pd.read_csv('iris.data', header=-1)
df.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]:

    

col_name =   ['sepal length', 'sepal width', 'petal length', 'petal width', 'class']


    

In [6]:

    

df.columns = col_name


    

In [7]:

    

df.head()


    

    
Out[7]:







  

    

      

      
sepal length
      
sepal width
      
petal length
      
petal width
      
class
    
  
  

    

      
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]:

    

iris = sns.load_dataset('iris')
iris.head()


    

    
Out[8]:







  

    

      

      
sepal_length
      
sepal_width
      
petal_length
      
petal_width
      
species
    
  
  

    

      
0
      
5.1
      
3.5
      
1.4
      
0.2
      
setosa
    
    

      
1
      
4.9
      
3.0
      
1.4
      
0.2
      
setosa
    
    

      
2
      
4.7
      
3.2
      
1.3
      
0.2
      
setosa
    
    

      
3
      
4.6
      
3.1
      
1.5
      
0.2
      
setosa
    
    

      
4
      
5.0
      
3.6
      
1.4
      
0.2
      
setosa
    
  

In [9]:

    

df.describe()


    

    
Out[9]:







  

    

      

      
sepal length
      
sepal width
      
petal length
      
petal width
    
  
  

    

      
count
      
150.000000
      
150.000000
      
150.000000
      
150.000000
    
    

      
mean
      
5.843333
      
3.054000
      
3.758667
      
1.198667
    
    

      
std
      
0.828066
      
0.433594
      
1.764420
      
0.763161
    
    

      
min
      
4.300000
      
2.000000
      
1.000000
      
0.100000
    
    

      
25%
      
5.100000
      
2.800000
      
1.600000
      
0.300000
    
    

      
50%
      
5.800000
      
3.000000
      
4.350000
      
1.300000
    
    

      
75%
      
6.400000
      
3.300000
      
5.100000
      
1.800000
    
    

      
max
      
7.900000
      
4.400000
      
6.900000
      
2.500000
    
  

In [10]:

    

iris.describe()


    

    
Out[10]:







  

    

      

      
sepal_length
      
sepal_width
      
petal_length
      
petal_width
    
  
  

    

      
count
      
150.000000
      
150.000000
      
150.000000
      
150.000000
    
    

      
mean
      
5.843333
      
3.057333
      
3.758000
      
1.199333
    
    

      
std
      
0.828066
      
0.435866
      
1.765298
      
0.762238
    
    

      
min
      
4.300000
      
2.000000
      
1.000000
      
0.100000
    
    

      
25%
      
5.100000
      
2.800000
      
1.600000
      
0.300000
    
    

      
50%
      
5.800000
      
3.000000
      
4.350000
      
1.300000
    
    

      
75%
      
6.400000
      
3.300000
      
5.100000
      
1.800000
    
    

      
max
      
7.900000
      
4.400000
      
6.900000
      
2.500000
    
  

In [11]:

    

print(iris.info())


    

    




<class 'pandas.core.frame.DataFrame'>
RangeIndex: 150 entries, 0 to 149
Data columns (total 5 columns):
sepal_length    150 non-null float64
sepal_width     150 non-null float64
petal_length    150 non-null float64
petal_width     150 non-null float64
species         150 non-null object
dtypes: float64(4), object(1)
memory usage: 5.9+ KB
None

In [12]:

    

print(iris.groupby('species').size())


    

    




species
setosa        50
versicolor    50
virginica     50
dtype: int64

In [ ]: