python保存数组怎么操作

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。