The simple task of adding a row to a pandas.DataFrame object seems to be hard to accomplish. There are 3 stackoverflow questions relating to this, none of which
df['y'] will set a column
since you want to set a row, use .loc
Note that .ix is equivalent here, yours failed because you tried to assign a dictionary
to each element of the row y probably not what you want; converting to a Series tells pandas
that you want to align the input (for example you then don't have to to specify all of the elements)
In [7]: df = pandas.DataFrame(columns=['a','b','c','d'], index=['x','y','z'])
In [8]: df.loc['y'] = pandas.Series({'a':1, 'b':5, 'c':2, 'd':3})
In [9]: df
Out[9]:
a b c d
x NaN NaN NaN NaN
y 1 5 2 3
z NaN NaN NaN NaN