我想将数据帧转换为3D np.array 我试过df = df.as_matrix()。但它是一个2D矩阵。 数据帧是df:
days 0 1 2 3 4 5 6 7 8 9 ... 20 21 \
enrollment_id event ...
1 access 0 0 3 0 0 0 0 8 0 4 ... 20 0
discussion 0 0 0 0 0 0 0 0 0 0 ... 0 0
navigate 0 0 1 0 0 0 0 4 0 1 ... 0 0
page_close 0 0 1 0 0 0 0 6 0 2 ... 17 0
problem 0 0 8 0 0 0 0 6 0 0 ... 0 0
video 0 0 0 0 0 0 0 0 0 0 ... 14 0
wiki 0 0 0 0 0 0 0 0 0 0 ... 0 0
3 access 7 0 0 0 2 0 0 11 0 0 ... 0 0
discussion 0 0 0 0 0 0 0 0 0 0 ... 0 0
navigate 4 0 0 0 1 0 0 1 0 0 ... 0 0
page_close 2 0 0 0 0 0 0 5 0 0 ... 0 0
problem 14 0 0 0 0 0 0 13 0 0 ... 0 0
video 1 0 0 0 0 0 0 0 0 0 ... 0 0
wiki 0 0 0 0 0 0 0 0 0 0 ... 0 0
答案 0 :(得分:0)
由于数组只是数据帧的裸值,只需执行
arr = df.values
如果形状不是您想要的,您可以使用NumPy reshape
方法/功能。