In [1]:

    

import pandas as pd


    

In [2]:

    

import warnings


    

In [3]:

    

import seaborn as sns


    

In [16]:

    

import matplotlib.pyplot as plt
%matplotlib inline


    

In [17]:

    

sns.set(style="white", color_codes=True)


    

In [51]:

    

iris = pd.read_csv("../data/iris/Iris.csv")


    

In [50]:

    

iris.head()


    

    
Out[50]:






  

    

      

      
Id
      
SepalLengthCm
      
SepalWidthCm
      
PetalLengthCm
      
PetalWidthCm
      
Species
    
  
  

    

      
0
      
1
      
5.1
      
3.5
      
1.4
      
0.2
      
Iris-setosa
    
    

      
1
      
2
      
4.9
      
3.0
      
1.4
      
0.2
      
Iris-setosa
    
    

      
2
      
3
      
4.7
      
3.2
      
1.3
      
0.2
      
Iris-setosa
    
    

      
3
      
4
      
4.6
      
3.1
      
1.5
      
0.2
      
Iris-setosa
    
    

      
4
      
5
      
5.0
      
3.6
      
1.4
      
0.2
      
Iris-setosa
    
  

In [20]:

    

iris.tail()


    

    
Out[20]:






  

    

      

      
Id
      
SepalLengthCm
      
SepalWidthCm
      
PetalLengthCm
      
PetalWidthCm
      
Species
    
  
  

    

      
145
      
146
      
6.7
      
3.0
      
5.2
      
2.3
      
Iris-virginica
    
    

      
146
      
147
      
6.3
      
2.5
      
5.0
      
1.9
      
Iris-virginica
    
    

      
147
      
148
      
6.5
      
3.0
      
5.2
      
2.0
      
Iris-virginica
    
    

      
148
      
149
      
6.2
      
3.4
      
5.4
      
2.3
      
Iris-virginica
    
    

      
149
      
150
      
5.9
      
3.0
      
5.1
      
1.8
      
Iris-virginica
    
  

In [21]:

    

iris["Species"].value)counts()


    

    




  File "<ipython-input-21-39adbf6efb82>", line 1
    iris["Species"].value)counts()
                         ^
SyntaxError: invalid syntax

In [22]:

    

iris["Species"].value_counts()


    

    
Out[22]:





Iris-virginica     50
Iris-setosa        50
Iris-versicolor    50
Name: Species, dtype: int64

In [23]:

    

iris.plot(kind="scatter", x="SepalLengthCm", y="SepalWidthCm")


    

    
Out[23]:





<matplotlib.axes._subplots.AxesSubplot at 0x10e1f8198>






    

In [15]:

    

iris.plot(kind="scatter", x="SepalLengthCm", y="SepalWidthCm")


    

    
Out[15]:





<matplotlib.axes._subplots.AxesSubplot at 0x10e1969e8>

In [25]:

    

sns.jointplot(x="SepalLengthCm", y="SepalWidthCm", data=iris, size=7)


    

    
Out[25]:





<seaborn.axisgrid.JointGrid at 0x10e273908>






    

In [26]:

    

sns.FacetGrid(iris, hue="Species", size=10) \
   .map(plt.scatter, "SepalLengthCm", "SepalWidthCm") \
   .add_legend()


    

    
Out[26]:





<seaborn.axisgrid.FacetGrid at 0x10e4c13c8>






    

In [49]:

    

sns.boxplot(x="Species", y="PetalWidthCm", data=iris)


    

    
Out[49]:





<matplotlib.axes._subplots.AxesSubplot at 0x112782358>






    

In [29]:

    

ax = sns.boxplot(x="Species", y="PetalLengthCm", data=iris)


    

In [30]:

    

ax = sns.stripplot(x="Species", y="PetalLengthCm", data=iris, jitter=True, edgecolor="gray")


    

In [31]:

    

ax = sns.boxplot(x="Species", y="PetalLengthCm", data=iris)
ax = sns.stripplot(x="Species", y="PetalLengthCm", data=iris, jitter=True, edgecolor="gray")


    

In [33]:

    

sns.violinplot(x="Species", y="PetalLengthCm", data=iris, size=6)


    

    
Out[33]:





<matplotlib.axes._subplots.AxesSubplot at 0x10f36d9b0>






    

In [36]:

    

sns.FacetGrid(iris, hue="Species", size=6).map(sns.kdeplot, "PetalLengthCm").add_legend()


    

    
Out[36]:





<seaborn.axisgrid.FacetGrid at 0x10f9749e8>






    

In [37]:

    

sns.pairplot(iris.drop("Id", axis=1), hue="Species", size=3)


    

    
Out[37]:





<seaborn.axisgrid.PairGrid at 0x10f95b5f8>






    

In [38]:

    

sns.pairplot(iris.drop("Id", axis=1), hue="Species", size=3, diag_kind="kde")


    

    
Out[38]:





<seaborn.axisgrid.PairGrid at 0x1103d93c8>






    

In [39]:

    

iris.drop("Id", axis=1).boxplot(by="Species", figsize=(12,6))


    

    
Out[39]:





array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1117ff898>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x111bec438>],
       [<matplotlib.axes._subplots.AxesSubplot object at 0x111f70d30>,
        <matplotlib.axes._subplots.AxesSubplot object at 0x111fb2160>]], dtype=object)






    

In [40]:

    

from pandas.tools.plotting import andrews_curves


    

In [41]:

    

andrews_curves(iris.drop("Id", axis=1), "Species")


    

    
Out[41]:





<matplotlib.axes._subplots.AxesSubplot at 0x111fe4908>






    

In [42]:

    

from pandas.tools.plotting import parallel_coordinates


    

In [43]:

    

parallel_coordinates(iris.drop("Id",axis=1), "Species")


    

    
Out[43]:





<matplotlib.axes._subplots.AxesSubplot at 0x1124f0b70>






    

In [44]:

    

from pandas.tools.plotting import radviz


    

In [45]:

    

radviz(iris.drop("Id", axis=1), "Species")


    

    
Out[45]:





<matplotlib.axes._subplots.AxesSubplot at 0x11276df28>






    

In [2]:

    

import matplotlib.pyplot as plt
%matplotlib inline


    

In [4]:

    

plt.hist([1,1,2,3,3])


    

    
Out[4]:





(array([ 2.,  0.,  0.,  0.,  0.,  1.,  0.,  0.,  0.,  2.]),
 array([ 1. ,  1.2,  1.4,  1.6,  1.8,  2. ,  2.2,  2.4,  2.6,  2.8,  3. ]),
 <a list of 10 Patch objects>)






    

In [ ]: