Numpy是用于科学计算的程序包，对处理矩阵最有用。如果仅创建功能部件数组以打印到控制台，则使用pandas数据框或python列表会容易得多。
That being said:
Your numpy array has a dtype of
Numpy structured arrays are intended to hold values of different datatypes. But you could also use dtype object to store both floats and arbitrary long strings in the same matrix:
np.full((4,7), 0, dtype=np.object)
Alternatively you can specify the maximum length string you will need: dtype=’
Your code example is very long and most lines are not immediately relevant to the problem. It is better to only show the minimum of code necessary to reproduce the problem. This will also help you understand the problem and narrow down where the bug is.