如何创建一个数组到 numpy 数组?
def test(X, N): [n,T] = X.shape print "n : ", n print "T : ", T if __name__=="__main__": X = [[[-9.035250067710876], [7.453250169754028], [33.34074878692627]], [[-6.63700008392334], [5.132999956607819], [31.66075038909912]], [[-5.1272499561309814], [8.251499891281128], [30.925999641418457]]] N = 200 test(X, N)
我收到错误
AttributeError: 'list' object has no attribute 'shape'
那么,我认为我需要将我的 X 转换为 numpy 数组?
使用numpy.array使用shape属性。
numpy.array
shape
>>> import numpy as np >>> X = np.array([ ... [[-9.035250067710876], [7.453250169754028], [33.34074878692627]], ... [[-6.63700008392334], [5.132999956607819], [31.66075038909912]], ... [[-5.1272499561309814], [8.251499891281128], [30.925999641418457]] ... ]) >>> X.shape (3L, 3L, 1L)
注意: X.shape返回给定数组的 3 项元组;[n, T] = X.shape引发ValueError。
X.shape
[n, T] = X.shape
ValueError