Melt the Upper Triangular Matrix of a Pandas Dataframe

Question

Given a square pandas DataFrame of the following form:

   a  b  c
a  1 .5 .3
b .5  1 .4
c .3 .4  1

How can the upper triangle be melted to ge

Answer 1

Building from solution by @jezrael, boolean indexing would be a more explicit approach:

import numpy
from pandas import DataFrame

df = DataFrame({'a':[1,.5,.3],'b':[.5,1,.4],'c':[.3,.4,1]},index=list('abc'))
print df,'\n'
keep = np.triu(np.ones(df.shape)).astype('bool').reshape(df.size)
print df.stack()[keep]

output:

     a    b    c
a  1.0  0.5  0.3
b  0.5  1.0  0.4
c  0.3  0.4  1.0 

a  a    1.0
   b    0.5
   c    0.3
b  b    1.0
   c    0.4
c  c    1.0
dtype: float64