要做到这一点,首先,您需要了解numpy的基本操作。
arr
看起来像下面这样。
arr = np.array([[ 0.08778, 0.99666, 0.30648],
[ 0.41688, 2.70076, 1.10135],
[ 1.90494, 0.91685, -0.26984],
[-0.44512, 1.73972, -1.24406],
[-1.68572, 1.01617, 1.01221],
[-0.1977 , -0.77177, -0.35553],
[ 0.61588, 3.6995 , 1.59813],
[ 2.98863, 0.86173, -0.59616],
[-0.78312, 2.20935, -2.22362],
[-2.73208, 1.02071, 1.44702],
[-0.36006, -1.82939, -0.72827]])
这是一个二维numpy数组。所以您可以访问任何行和列,甚至是特定位置的特定值。要遍历数组,可以使用
arr[starting row: ending row, starting column: ending column]
. 例如,您希望通过
arr[1:,:]
.
arr[1:,:] = arr[1:,:]+0.1 or arr[1:,:]+=0.1 or arr[1:]+=0.1
array([[ 0.08778, 0.99666, 0.30648],
[ 0.51688, 2.80076, 1.20135],
[ 2.00494, 1.01685, -0.16984],
[-0.34512, 1.83972, -1.14406],
[-1.58572, 1.11617, 1.11221],
[-0.0977 , -0.67177, -0.25553],
[ 0.71588, 3.7995 , 1.69813],
[ 3.08863, 0.96173, -0.49616],
[-0.68312, 2.30935, -2.12362],
[-2.63208, 1.12071, 1.54702],
[-0.26006, -1.72939, -0.62827]])
因为您不想操作列,所以您可以编写代码而不必提及列。
