notebook.community

Edit and run



In [1]:

    
import cufflinks as cf
import plotly.plotly as py
import plotly.figure_factory as ff
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import pandas as pd



In [2]:

    
init_notebook_mode(connected=False)
cf.go_offline()



In [3]:

    
df = pd.read_csv("../data/school_earnings.csv", index_col='School')



In [4]:

    
df



In [5]:

    
df.iplot(sharing='private', kind="bar")



In [6]:

    
df.iplot?



In [7]:

    
df[['Women', 'Men']].iplot(sharing='private', kind="spread")



In [ ]:

	Women	Men	gap
School
MIT	94	152	58
Stanford	96	151	55
Harvard	112	165	53
U.Penn	92	141	49
Princeton	90	137	47
Chicago	78	118	40
Georgetown	94	131	37
Tufts	76	112	36
Yale	79	114	35
Columbia	86	119	33
Duke	93	124	31
Dartmouth	84	114	30
NYU	67	94	27
Notre Dame	73	100	27
Cornell	80	107	27
Michigan	62	84	22
Brown	72	92	20
Berkeley	71	88	17
Emory	68	82	14
UCLA	64	78	14
SoCal	72	81	9