Given the following pandas.core.frame.DataFrame, called sorted_by_diff :
In [10]:sorted_by_diff.head(4)
Out[10]:
value
y 0 1 diff
variable
george 1.265265 0.001550 1.263716
hp 0.895473 0.017479 0.877994
hpl 0.431994 0.009173 0.422822
re 0.415760 0.125091 0.290669
Having the following columns:
In [11]: sorted_by_diff.columns
Out[11]:
MultiIndex(levels=[[u'value'], [0, 1, u'diff']],
labels=[[0, 0, 0], [0, 1, 2]],
names=[None, u'y'])
And the following indexes:
In [12]: sorted_by_diff.index
Out[12]:
Index([u'george', u'hp', u'hpl', u're', u'edu', u'meeting', u'650', u'85', u'lab', u'labs', u'1999', u'data', u'project', u'technology', u'pm', u'telnet', u'address', u'857', u'415', u'cs', u'original', u'(', u'conference', u'direct', u';', u'[', u'parts', u'table', u'will', u'report', u'#', u'make', u'people', u'receive', u'addresses', u'over', u'order', u'$', u'3d', u'internet', u'mail', u'font', u'money', u'credit', u'all', u'email', u'business', u'000', u'remove', u'our', u'!', u'free', u'your', u'you', u'length_average', u'length_longest', u'length_total'], dtype='object')
How to rexindex sorted_by_diff to be like this?
value
y email spam diff
variable
george 1.265265 0.001550 1.263716
hp 0.895473 0.017479 0.877994
hpl 0.431994 0.009173 0.422822
re 0.415760 0.125091 0.290669
That is, how to change the index levels 0 and 1 to 'email' and 'spam', respectively?
>>> sorted_by_diff.columns.set_levels([[u'value'], ['email', 'spam', 'diff']], inplace=True)
>>> sorted_by_diff
value
y email spam diff
variable
george 1.265265 0.001550 1.263716
hp 0.895473 0.017479 0.877994
hpl 0.431994 0.009173 0.422822
re 0.415760 0.125091 0.290669