In [1]:

    

%matplotlib inline


    

In [2]:

    

import pandas_ml as pdml


    

    




/Users/sin/miniconda/envs/py27std/lib/python2.7/site-packages/matplotlib/__init__.py:872: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))

In [3]:

    

import numpy as np
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (4, 3)


    

In [4]:

    

df = pdml.ModelFrame(np.random.randn(100, 5) + np.array([1, 2, 3, 4, 5]),
                     columns=list('abcde'))
df.target = df['a']
df.head()


    

    
Out[4]:






  

    

      

      
a
      
b
      
c
      
d
      
e
    
  
  

    

      
0
      
0.670028
      
0.398383
      
1.168282
      
3.876516
      
4.766492
    
    

      
1
      
1.118496
      
2.127108
      
3.327253
      
2.782271
      
4.524863
    
    

      
2
      
1.024293
      
3.291864
      
3.148461
      
3.626145
      
5.040994
    
    

      
3
      
-0.677798
      
1.402040
      
4.446913
      
4.395288
      
5.386155
    
    

      
4
      
0.280390
      
3.556580
      
3.503527
      
4.882222
      
5.034740
    
  

In [5]:

    

df.target.name


    

    
Out[5]:





'a'

In [6]:

    

df.sns.distplot();


    

In [7]:

    

df.sns.distplot(kde=False, rug=True);


    

In [8]:

    

df.sns.distplot(bins=20, kde=False, rug=True);


    

In [9]:

    

df.sns.distplot(hist=False, rug=True);


    

In [10]:

    

df.sns.distplot('b');


    

In [11]:

    

df.sns.kdeplot(shade=True);


    

In [12]:

    

df.sns.kdeplot()
df.sns.kdeplot(bw=.2, label="bw: 0.2")
df.sns.kdeplot(bw=2, label="bw: 2")
plt.legend();


    

In [13]:

    

df.sns.kdeplot('b', shade=True, cut=0)
df.sns.rugplot('b');


    

In [14]:

    

df.sns.jointplot('b', size=4);


    

    




/Users/sin/miniconda/envs/py27std/lib/python2.7/site-packages/matplotlib/__init__.py:892: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.
  warnings.warn(self.msg_depr % (key, alt_key))






    

In [15]:

    

df.sns.jointplot('b', 'c', kind="hex", color="k", size=4);


    

In [16]:

    

df.sns.jointplot("d", "e", kind="kde", size=4);


    

In [17]:

    

f, ax = plt.subplots()
df.sns.kdeplot('b', 'c', ax=ax)
df.sns.rugplot('b', color="g", ax=ax)
df.sns.rugplot('c', vertical=True, ax=ax);


    

In [18]:

    

cmap = df.sns.cubehelix_palette(as_cmap=True, dark=0, light=1, reverse=True)
df.sns.kdeplot('b', 'c', cmap=cmap, n_levels=60, shade=True);


    

In [19]:

    

g = df.sns.jointplot(x="a", y="b", kind="kde", color="m", size=4)
g.plot_joint(plt.scatter, c="w", s=30, linewidth=1, marker="+")
g.ax_joint.collections[0].set_alpha(0);


    

In [20]:

    

import seaborn as sns
iris = sns.load_dataset("iris")
iris = pdml.ModelFrame(iris, target='species')
iris.head()


    

    
Out[20]:






  

    

      

      
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 [21]:

    

iris.sns.pairplot(size=1.5);


    

In [22]:

    

import seaborn as sns
g = iris.sns.PairGrid(size=1.5)
g.map_diag(iris.sns.kdeplot)
g.map_offdiag(iris.sns.kdeplot, cmap="Blues_d", n_levels=6);


    

    




/Users/sin/miniconda/envs/py27std/lib/python2.7/site-packages/matplotlib/axes/_axes.py:519: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.
  warnings.warn("No labelled objects found. "






    

In [ ]: