notebook.community

Edit and run



In [6]:

    
# import
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.datasets import load_iris

%matplotlib inline



In [79]:

    
# reading data
data = pd.DataFrame(load_iris()['data'])
target = pd.DataFrame(load_iris()['target'])
iris =pd.concat([data, target], axis=1)
iris.columns = ['sepal_length','sepal_width','petal_length','petal_width', 'species']



In [80]:

    
iris[:3]









    Out[80]:






  
    
      
      sepal_length
      sepal_width
      petal_length
      petal_width
      species
    
  
  
    
      0
      5.1
      3.5
      1.4
      0.2
      0
    
    
      1
      4.9
      3.0
      1.4
      0.2
      0
    
    
      2
      4.7
      3.2
      1.3
      0.2
      0



In [88]:

    
# I have already import matplotlib library (python plotting)
# now plotting the data 
setosa = iris[iris['species']==0]
versi = iris[iris['species']==1]
vergi = iris[iris['species']==2]



In [89]:

    
# plotting "sepal length" and "sepal width" for 

plt.scatter(setosa.iloc[:, 0], setosa.iloc[:, 1])









    Out[89]:





<matplotlib.collections.PathCollection at 0x2406703c278>



In [96]:

    
# plotting "sepal length" histogram 

plt.hist(setosa.iloc[:, 0])









    Out[96]:





(array([  4.,   1.,   6.,   5.,  12.,   8.,   4.,   5.,   2.,   3.]),
 array([ 4.3 ,  4.45,  4.6 ,  4.75,  4.9 ,  5.05,  5.2 ,  5.35,  5.5 ,
         5.65,  5.8 ]),
 <a list of 10 Patch objects>)



In [115]:

    
plt.boxplot(setosa.iloc[:, 2])









    Out[115]:





{'boxes': [<matplotlib.lines.Line2D at 0x240697ee198>],
 'caps': [<matplotlib.lines.Line2D at 0x240697f3ba8>,
  <matplotlib.lines.Line2D at 0x240697f3d30>],
 'fliers': [<matplotlib.lines.Line2D at 0x240697f8da0>],
 'means': [],
 'medians': [<matplotlib.lines.Line2D at 0x240697f8588>],
 'whiskers': [<matplotlib.lines.Line2D at 0x240697eeb38>,
  <matplotlib.lines.Line2D at 0x240697eecc0>]}



In [111]:

    
setosa.iloc[:, 0:2]









    Out[111]:






  
    
      
      sepal_length
      sepal_width
    
  
  
    
      0
      5.1
      3.5
    
    
      1
      4.9
      3.0
    
    
      2
      4.7
      3.2
    
    
      3
      4.6
      3.1
    
    
      4
      5.0
      3.6
    
    
      5
      5.4
      3.9
    
    
      6
      4.6
      3.4
    
    
      7
      5.0
      3.4
    
    
      8
      4.4
      2.9
    
    
      9
      4.9
      3.1
    
    
      10
      5.4
      3.7
    
    
      11
      4.8
      3.4
    
    
      12
      4.8
      3.0
    
    
      13
      4.3
      3.0
    
    
      14
      5.8
      4.0
    
    
      15
      5.7
      4.4
    
    
      16
      5.4
      3.9
    
    
      17
      5.1
      3.5
    
    
      18
      5.7
      3.8
    
    
      19
      5.1
      3.8
    
    
      20
      5.4
      3.4
    
    
      21
      5.1
      3.7
    
    
      22
      4.6
      3.6
    
    
      23
      5.1
      3.3
    
    
      24
      4.8
      3.4
    
    
      25
      5.0
      3.0
    
    
      26
      5.0
      3.4
    
    
      27
      5.2
      3.5
    
    
      28
      5.2
      3.4
    
    
      29
      4.7
      3.2
    
    
      30
      4.8
      3.1
    
    
      31
      5.4
      3.4
    
    
      32
      5.2
      4.1
    
    
      33
      5.5
      4.2
    
    
      34
      4.9
      3.1
    
    
      35
      5.0
      3.2
    
    
      36
      5.5
      3.5
    
    
      37
      4.9
      3.1
    
    
      38
      4.4
      3.0
    
    
      39
      5.1
      3.4
    
    
      40
      5.0
      3.5
    
    
      41
      4.5
      2.3
    
    
      42
      4.4
      3.2
    
    
      43
      5.0
      3.5
    
    
      44
      5.1
      3.8
    
    
      45
      4.8
      3.0
    
    
      46
      5.1
      3.8
    
    
      47
      4.6
      3.2
    
    
      48
      5.3
      3.7
    
    
      49
      5.0
      3.3



In [ ]:

	sepal_length	sepal_width
0	5.1	3.5
1	4.9	3.0
2	4.7	3.2
3	4.6	3.1
4	5.0	3.6
5	5.4	3.9
6	4.6	3.4
7	5.0	3.4
8	4.4	2.9
9	4.9	3.1
10	5.4	3.7
11	4.8	3.4
12	4.8	3.0
13	4.3	3.0
14	5.8	4.0
15	5.7	4.4
16	5.4	3.9
17	5.1	3.5
18	5.7	3.8
19	5.1	3.8
20	5.4	3.4
21	5.1	3.7
22	4.6	3.6
23	5.1	3.3
24	4.8	3.4
25	5.0	3.0
26	5.0	3.4
27	5.2	3.5
28	5.2	3.4
29	4.7	3.2
30	4.8	3.1
31	5.4	3.4
32	5.2	4.1
33	5.5	4.2
34	4.9	3.1
35	5.0	3.2
36	5.5	3.5
37	4.9	3.1
38	4.4	3.0
39	5.1	3.4
40	5.0	3.5
41	4.5	2.3
42	4.4	3.2
43	5.0	3.5
44	5.1	3.8
45	4.8	3.0
46	5.1	3.8
47	4.6	3.2
48	5.3	3.7
49	5.0	3.3

	sepal_length	sepal_width
0	5.1	3.5
1	4.9	3.0
2	4.7	3.2
3	4.6	3.1
4	5.0	3.6
5	5.4	3.9
6	4.6	3.4
7	5.0	3.4
8	4.4	2.9
9	4.9	3.1
10	5.4	3.7
11	4.8	3.4
12	4.8	3.0
13	4.3	3.0
14	5.8	4.0
15	5.7	4.4
16	5.4	3.9
17	5.1	3.5
18	5.7	3.8
19	5.1	3.8
20	5.4	3.4
21	5.1	3.7
22	4.6	3.6
23	5.1	3.3
24	4.8	3.4
25	5.0	3.0
26	5.0	3.4
27	5.2	3.5
28	5.2	3.4
29	4.7	3.2
30	4.8	3.1
31	5.4	3.4
32	5.2	4.1
33	5.5	4.2
34	4.9	3.1
35	5.0	3.2
36	5.5	3.5
37	4.9	3.1
38	4.4	3.0
39	5.1	3.4
40	5.0	3.5
41	4.5	2.3
42	4.4	3.2
43	5.0	3.5
44	5.1	3.8
45	4.8	3.0
46	5.1	3.8
47	4.6	3.2
48	5.3	3.7
49	5.0	3.3

	sepal_length	sepal_width
0	5.1	3.5
1	4.9	3.0
2	4.7	3.2
3	4.6	3.1
4	5.0	3.6
5	5.4	3.9
6	4.6	3.4
7	5.0	3.4
8	4.4	2.9
9	4.9	3.1
10	5.4	3.7
11	4.8	3.4
12	4.8	3.0
13	4.3	3.0
14	5.8	4.0
15	5.7	4.4
16	5.4	3.9
17	5.1	3.5
18	5.7	3.8
19	5.1	3.8
20	5.4	3.4
21	5.1	3.7
22	4.6	3.6
23	5.1	3.3
24	4.8	3.4
25	5.0	3.0
26	5.0	3.4
27	5.2	3.5
28	5.2	3.4
29	4.7	3.2
30	4.8	3.1
31	5.4	3.4
32	5.2	4.1
33	5.5	4.2
34	4.9	3.1
35	5.0	3.2
36	5.5	3.5
37	4.9	3.1
38	4.4	3.0
39	5.1	3.4
40	5.0	3.5
41	4.5	2.3
42	4.4	3.2
43	5.0	3.5
44	5.1	3.8
45	4.8	3.0
46	5.1	3.8
47	4.6	3.2
48	5.3	3.7
49	5.0	3.3