96 plotly and CUFFLINKS iplot 02

In [1]:

import pandas as pd
import numpy as np
%matplotlib inline

from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import cufflinks as cf
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]:

df1 = pd.DataFrame(np.random.randn(100,4),columns='A B C D'.split())
df2 = pd.DataFrame({'Category':['A','B','C'],'Values':[32,43,50]})

In [4]:

df1.iplot()

Using Cufflinks and iplot()¶

• scatter
• bar
• box
• spread
• ratio
• heatmap
• surface
• histogram
• bubble

In [23]:

df1.iplot(kind='scatter',x='A',y='B')

In [24]:

df1.iplot(kind='scatter',x='A',y='B',mode='markers')

In [10]:

df1.iplot(kind='scatter',x='A',y='B',mode='markers',size=10)

In [25]:

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

In [26]:

df1.iplot(kind='bar')

In [27]:

df1.count().iplot(kind='bar')

In [28]:

df1.sum().iplot(kind='bar')

In [29]:

df1.iplot(kind='box')

In [30]:

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')

In [18]:

df3.iplot(kind='surface',colorscale='rdylbu')

In [31]:

df3 = pd.DataFrame({'x':[1,2,3,4,5],'y':[10,20,30,20,10],'z':[500,400,300,200,100]})
df3.iplot(kind='surface')

In [32]:

df1['A'].iplot(kind='hist',bins=25)

In [33]:

df1['A'].iplot(kind='hist',bins=40)