Plotly and Cufflinks

In [1]:

    

import pandas as pd
import numpy as np
%matplotlib inline


    

In [2]:

    

from plotly import __version__
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot

print(__version__) # requires version >= 1.9.0


    

    




1.12.9

In [3]:

    

import cufflinks as cf


    

In [4]:

    

# For Notebooks
init_notebook_mode(connected=True)


    

In [5]:

    

# For offline use
cf.go_offline()


    

In [6]:

    

df = pd.DataFrame(np.random.randn(100,4),columns='A B C D'.split())


    

In [7]:

    

df.head()


    

    
Out[7]:






  

    

      

      
A
      
B
      
C
      
D
    
  
  

    

      
0
      
0.250546
      
-0.126814
      
0.263805
      
-0.961964
    
    

      
1
      
-1.336465
      
1.253691
      
1.154073
      
-0.510275
    
    

      
2
      
0.480613
      
-0.939239
      
0.341656
      
-1.089402
    
    

      
3
      
-0.307764
      
1.423019
      
-1.205179
      
2.658885
    
    

      
4
      
0.575849
      
0.357668
      
-2.791770
      
-0.540994
    
  

In [8]:

    

df2 = pd.DataFrame({'Category':['A','B','C'],'Values':[32,43,50]})


    

In [9]:

    

df2.head()


    

    
Out[9]:






  

    

      

      
Category
      
Values
    
  
  

    

      
0
      
A
      
32
    
    

      
1
      
B
      
43
    
    

      
2
      
C
      
50
    
  

In [10]:

    

df.iplot(kind='scatter',x='A',y='B',mode='markers',size=10)


    

In [11]:

    

df2.iplot(kind='bar',x='Category',y='Values')


    

In [12]:

    

df.count().iplot(kind='bar')


    

In [13]:

    

df.iplot(kind='box')


    

In [14]:

    

df3 = pd.DataFrame({'x':[1,2,3,4,5],'y':[10,20,30,20,10],'z':[5,4,3,2,1]})
df3.iplot(kind='surface',colorscale='rdylbu')


    

In [15]:

    

df[['A','B']].iplot(kind='spread')


    

In [16]:

    

df['A'].iplot(kind='hist',bins=25)


    

In [17]:

    

df.iplot(kind='bubble',x='A',y='B',size='C')


    

In [18]:

    

df.scatter_matrix()