Dear all, Do we have a function in numpy that can automatically "shrink" a ndarray with redundant dimension? like I have a ndarray with shape of (13,1,1,160,1), now I have written a small function to change the array to dimension of (13,160) [reduce the extra dimension with length as 1]. but I just would like to know maybe there is already something which can do this there ? cheers, Chao -- *********************************************************************************** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 ************************************************************************************
Dear Chao,
Do we have a function in numpy that can automatically "shrink" a ndarray with redundant dimension?
like I have a ndarray with shape of (13,1,1,160,1), now I have written a small function to change the array to dimension of (13,160) [reduce the extra dimension with length as 1]. but I just would like to know maybe there is already something which can do this there ?
np.squeeze Cheers, Derek
participants (2)
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Chao YUE -
Derek Homeier