October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Using a 3D NumPy array with axis labels
Here, we show how to construct a Panel object from a 3D NumPy array. After defining the 3D array, a panel could be created by defining each of the three axes:
In [68]: stockData = np.array([[[63.03,61.48,75],[62.05,62.75,46],[62.74,62.19,53]],[[411.90, 404.38, 2.9],[405.45, 405.91, 2.6],[403.15, 404.42, 2.4]]])In [69]: stockHistoricalPrices = pd.Panel(stockData,items=['FB', 'NFLX'], major_axis=pd.date_range('2/3/2014', periods=3),minor_axis=['open price', 'closing price', 'volume'])In [70]: stockHistoricalPricesOut[70]:<class 'pandas.core.panel.Panel'>Dimensions: 2 (items) x 3 (major_axis) x 3 (minor_axis)Items axis: FB to NFLXMajor_axis axis: 2014-02-03 00:00:00 to 2014-02-05 00:00:00Minor_axis axis: ...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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