Plotly and Cufflinks for plotting with Pandas

Get cufflinks

Cufflinks integrates plotly with pandas to allow plotting right from pandas dataframes. Install using pip

pip install cufflinks



In [1]:

    
import numpy as np
import pandas as pd
import cufflinks as cf
from plotly.offline import download_plotlyjs, init_notebook_mode
from plotly.offline import plot, iplot

#set notebook mode
init_notebook_mode(connected=True)
cf.go_offline()









    











    



IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.



In [2]:

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



In [3]:

    
df2 = pd.DataFrame({'category':['A','B','C'], 'values':[33,56,67]})
df2

interactive plotting

line plots

With Plotly, you can turn on and off data values by clicking on the legend



In [4]:

    
df.iplot()

bar plot



In [5]:

    
df2.iplot(kind='bar')

box plot



In [6]:

    
df.iplot(kind='box')

surface plot



In [7]:

    
df3 = pd.DataFrame({'x':[1,2,3,4,5],
                   'y':[11,22,33,44,55],
                    'z':[5,4,3,2,1]})
df3



In [8]:

    
df3.iplot(kind='surface')

histograms



In [9]:

    
df.iplot(kind='hist',bins=50)

spread plots

Used to show the spread in data value between two columns / variables.



In [12]:

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

bubble scatter plots

same as scatter, but you can easily size the dots by another column



In [16]:

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

scatter matrix

This is similar to seaborn's pairplot



In [17]:

    
df.scatter_matrix()

	A	B	C	D
0	-1.539048	-0.876097	-0.236866	-0.591233
1	-0.347391	0.584317	1.223430	0.269432
2	0.342396	-1.198989	0.692799	0.451392
3	-2.244973	0.979081	-0.896566	-0.114954
4	-1.358436	1.246352	1.182089	-1.072197