首先，创建numpy中的数组。
In [18]: arr1 = np.arange(100).reshape(10,10) In [19]: arr1 Out[19]: array([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [10, 11, 12, 13, 14, 15, 16, 17, 18, 19], [20, 21, 22, 23, 24, 25, 26, 27, 28, 29], [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], [40, 41, 42, 43, 44, 45, 46, 47, 48, 49], [50, 51, 52, 53, 54, 55, 56, 57, 58, 59], [60, 61, 62, 63, , 65, 66, 67, 68, 69], [70, 71, 72, 73, 74, 75, 76, 77, 78, 79], [80, 81, 82, 83, 84, 85, 86, 87, 88, ], [90, 91, 92, 93, 94, 95, 96, 97, 98, 99]])
接着，为了能够使这组数据成为可以让pandas处理的数据，需要通过这个数组创建DataFrame。
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