notebook.community

Edit and run



In [1]:

    
import plotly.figure_factory as ff
from plotly.offline import init_notebook_mode, iplot  # this doesn't require an account on plot.ly
import pandas as pd



In [2]:

    
init_notebook_mode(connected=False)



In [3]:

    
df = pd.read_csv("../data/school_earnings.csv")



In [4]:

    
df.head()



In [5]:

    
table = ff.create_table(df)



In [6]:

    
iplot(table)

There is an experimental table support that allows quite a bit of interactivity (in the latest github dash-table-experiments)



In [ ]:

	School	Women	Men	gap
0	MIT	94	152	58
1	Stanford	96	151	55
2	Harvard	112	165	53
3	U.Penn	92	141	49
4	Princeton	90	137	47