Question

Panels are 3D arrays - they can be thought of as dictionaries of DataFrames.

df= np.random.binomial(100, 0.95, (9,2))
dm = np.random.binomial(100, 0.9, [12,2])
dff = DataFrame(df, columns = ['Physics', 'Math'])
dfm = DataFrame(dm, columns = ['Physics', 'Math'])
score_panel = Panel({'Girls': dff, 'Boys': dfm})
print score_panel, '\n'

<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 12 (major_axis) x 2 (minor_axis)
Items axis: Boys to Girls
Major_axis axis: 0 to 11
Minor_axis axis: Physics to Math

score_panel['Girls'].transpose()

	0	1	2	3	4	5	6	7	8	9	10	11
Physics	95	95	96	95	93	95	96	94	96	NaN	NaN	NaN
Math	95	95	94	92	91	92	96	95	97	NaN	NaN	NaN

# find physics and math scores of girls who scored >= 93 in math
# a DataFrame is returned
score_panel.ix['Girls', score_panel.Girls.Math >= 93, :]

	Physics	Math
0	95	95
1	95	95
2	96	94
6	96	96
7	94	95
8	96	97