October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Using a Python dictionary of DataFrame objects
A panel consists of several DataFrames. To create a panel, let's define two DataFrames:
USData = pd.DataFrame(np.array([[249.62 , 8900],[ 282.16,12680],[309.35,14940]]),columns=['Population(M)','GDP($B)'],index=[1990,2000,2010])ChinaData = pd.DataFrame(np.array([[1133.68, 390.28],[ 1266.83,1198.48],[1339.72, 6988.47]]),columns=['Population(M)','GDP($B)'],index=[1990,2000,2010])
Now, a dictionary of these DataFrames can be created:
In [73]: US_ChinaData={'US' : USData, 'China': ChinaData}In [74]: pd.Panel(US_ChinaData)Out[74]:<class 'pandas.core.panel.Panel'>Dimensions: 2 (items) x 3 (major_axis) x 2 (minor_axis)Items axis: US to ChinaMajor_axis axis: 1990 to 2010Minor_axis axis: Population(M) ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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