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In [1]:



    


%matplotlib inline
import pandas as pd
from matplotlib import *



    











In [2]:



    


# Iris dataset
df = pd.read_csv('../datasets/iris.csv')
df



    


















    
Out[2]:










  
    

      
      SepalLength
      SepalWidth
      PetalLength
      PetalWidth
      Species
    

  
  
    

      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
    

    

      5
      5.4
      3.9
      1.7
      0.4
      Iris-setosa
    

    

      6
      4.6
      3.4
      1.4
      0.3
      Iris-setosa
    

    

      7
      5.0
      3.4
      1.5
      0.2
      Iris-setosa
    

    

      8
      4.4
      2.9
      1.4
      0.2
      Iris-setosa
    

    

      9
      4.9
      3.1
      1.5
      0.1
      Iris-setosa
    

    

      10
      5.4
      3.7
      1.5
      0.2
      Iris-setosa
    

    

      11
      4.8
      3.4
      1.6
      0.2
      Iris-setosa
    

    

      12
      4.8
      3.0
      1.4
      0.1
      Iris-setosa
    

    

      13
      4.3
      3.0
      1.1
      0.1
      Iris-setosa
    

    

      14
      5.8
      4.0
      1.2
      0.2
      Iris-setosa
    

    

      15
      5.7
      4.4
      1.5
      0.4
      Iris-setosa
    

    

      16
      5.4
      3.9
      1.3
      0.4
      Iris-setosa
    

    

      17
      5.1
      3.5
      1.4
      0.3
      Iris-setosa
    

    

      18
      5.7
      3.8
      1.7
      0.3
      Iris-setosa
    

    

      19
      5.1
      3.8
      1.5
      0.3
      Iris-setosa
    

    

      20
      5.4
      3.4
      1.7
      0.2
      Iris-setosa
    

    

      21
      5.1
      3.7
      1.5
      0.4
      Iris-setosa
    

    

      22
      4.6
      3.6
      1.0
      0.2
      Iris-setosa
    

    

      23
      5.1
      3.3
      1.7
      0.5
      Iris-setosa
    

    

      24
      4.8
      3.4
      1.9
      0.2
      Iris-setosa
    

    

      25
      5.0
      3.0
      1.6
      0.2
      Iris-setosa
    

    

      26
      5.0
      3.4
      1.6
      0.4
      Iris-setosa
    

    

      27
      5.2
      3.5
      1.5
      0.2
      Iris-setosa
    

    

      28
      5.2
      3.4
      1.4
      0.2
      Iris-setosa
    

    

      29
      4.7
      3.2
      1.6
      0.2
      Iris-setosa
    

    

      ...
      ...
      ...
      ...
      ...
      ...
    

    

      120
      6.9
      3.2
      5.7
      2.3
      Iris-virginica
    

    

      121
      5.6
      2.8
      4.9
      2.0
      Iris-virginica
    

    

      122
      7.7
      2.8
      6.7
      2.0
      Iris-virginica
    

    

      123
      6.3
      2.7
      4.9
      1.8
      Iris-virginica
    

    

      124
      6.7
      3.3
      5.7
      2.1
      Iris-virginica
    

    

      125
      7.2
      3.2
      6.0
      1.8
      Iris-virginica
    

    

      126
      6.2
      2.8
      4.8
      1.8
      Iris-virginica
    

    

      127
      6.1
      3.0
      4.9
      1.8
      Iris-virginica
    

    

      128
      6.4
      2.8
      5.6
      2.1
      Iris-virginica
    

    

      129
      7.2
      3.0
      5.8
      1.6
      Iris-virginica
    

    

      130
      7.4
      2.8
      6.1
      1.9
      Iris-virginica
    

    

      131
      7.9
      3.8
      6.4
      2.0
      Iris-virginica
    

    

      132
      6.4
      2.8
      5.6
      2.2
      Iris-virginica
    

    

      133
      6.3
      2.8
      5.1
      1.5
      Iris-virginica
    

    

      134
      6.1
      2.6
      5.6
      1.4
      Iris-virginica
    

    

      135
      7.7
      3.0
      6.1
      2.3
      Iris-virginica
    

    

      136
      6.3
      3.4
      5.6
      2.4
      Iris-virginica
    

    

      137
      6.4
      3.1
      5.5
      1.8
      Iris-virginica
    

    

      138
      6.0
      3.0
      4.8
      1.8
      Iris-virginica
    

    

      139
      6.9
      3.1
      5.4
      2.1
      Iris-virginica
    

    

      140
      6.7
      3.1
      5.6
      2.4
      Iris-virginica
    

    

      141
      6.9
      3.1
      5.1
      2.3
      Iris-virginica
    

    

      142
      5.8
      2.7
      5.1
      1.9
      Iris-virginica
    

    

      143
      6.8
      3.2
      5.9
      2.3
      Iris-virginica
    

    

      144
      6.7
      3.3
      5.7
      2.5
      Iris-virginica
    

    

      145
      6.7
      3.0
      5.2
      2.3
      Iris-virginica
    

    

      146
      6.3
      2.5
      5.0
      1.9
      Iris-virginica
    

    

      147
      6.5
      3.0
      5.2
      2.0
      Iris-virginica
    

    

      148
      6.2
      3.4
      5.4
      2.3
      Iris-virginica
    

    

      149
      5.9
      3.0
      5.1
      1.8
      Iris-virginica
    

  



150 rows × 5 columns



















In [3]:



    


# Pie chart on species
from pylab import *
df['Species'].unique()



    


















    
Out[3]:








array(['Iris-setosa', 'Iris-versicolor', 'Iris-virginica'], dtype=object)

















In [4]:



    


labels = df['Species'].unique()
counts = []
for label in labels:
    counts.append(len(df[label == df['Species']]))
counts



    


















    
Out[4]:








[50, 50, 50]

















In [5]:



    


figure(1, figsize=(6,6))
ax = axes([0.1, 0.1, 0.8, 0.8])
pie(counts, labels=labels)



    


















    
Out[5]:








([<matplotlib.patches.Wedge at 0x7fef689bcda0>,
  <matplotlib.patches.Wedge at 0x7fef68944a58>,
  <matplotlib.patches.Wedge at 0x7fef6894a6d8>],
 [<matplotlib.text.Text at 0x7fef689445c0>,
  <matplotlib.text.Text at 0x7fef6894a240>,
  <matplotlib.text.Text at 0x7fef6894ae80>])










    
























In [6]:



    


df['SepalLength'].unique()



    


















    
Out[6]:








array([ 5.1,  4.9,  4.7,  4.6,  5. ,  5.4,  4.4,  4.8,  4.3,  5.8,  5.7,
        5.2,  5.5,  4.5,  5.3,  7. ,  6.4,  6.9,  6.5,  6.3,  6.6,  5.9,
        6. ,  6.1,  5.6,  6.7,  6.2,  6.8,  7.1,  7.6,  7.3,  7.2,  7.7,
        7.4,  7.9])

















In [7]:



    


hist(df['SepalLength'])
show()



    


















    
























In [12]:



    


hist(df['SepalWidth'])
show()



    


















    
























In [13]:



    


# all histograms
hist(df['SepalWidth'])
hist(df['PetalLength'])
hist(df['PetalWidth'])
show()



    


















    
























In [14]:



    


# scatter plots
scatter(df['SepalLength'],df['SepalWidth'])
show()



    


















    
























In [15]:



    


scatter(df['PetalWidth'],df['PetalLength'])
show()



    


















    
























In [16]:



    


scatter(df['SepalWidth'], df['PetalWidth'])
show()



    


















    
























In [17]:



    


scatter(df['SepalLength'], df['PetalLength'])
show()



    


















    
























In [18]:



    


scatter(df['SepalLength'], df['PetalWidth'])
show()



    


















    
























In [19]:



    


scatter(df['SepalWidth'], df['PetalLength'])
show()



    


















    
























In [ ]:

Content source: nickedes/Baby-science

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