| funciton | interpretation |
|---|---|
| np.array() | |
| np.arange(start, end, step) | |
| np.linspace(start, end, count) | from start to end, equal margin |
| np.copy() | |
| np.hstack(tuple) | Stack arrays in sequence horizontally (column wise) |
| np.vstack(tuple) | Stack arrays in sequence vertically (row wise) |
| numpy.random.rand(d0,d1,d2,...,dN) | d is dimention,float values betweent 0 and 1 |
| numpy.zeros(shape, dtype=float, order=‘C‘) | order = ‘C‘ is row-major, F is column-major storage in memory |
| numpy.nditer() | iterator for array |
| np.dot() | dot product |
| np.cross() | cross product |
| np.max() | get maximum value from tensor |
| np.amax(arr, axis) | get maximum value from given axis |
| np.sum(arr, axis) | sum of all elements if using default axis |
| np.average(arr, axis，weights) | average of all elements if using default axis |
| np.mean(arr, axis) | equal to np.average while weights is 1 |
| np.std() | standard deviation |
| np.tolist() |
原文：https://www.cnblogs.com/ashyLoveLoli/p/15194287.html