python - How to convert numpy dtype=object array to normal ndarray -


i have object type array contains floats (batch_x). want convert array(batch_x normal np ndarray every time try it gives me same error:

valueerror: setting array element sequence.

i tried many different methods none of them worked threw me same error. when try convert reshaping , changing dtype throws error above:

batch_x = batch_x.astype(float).reshape(batch_x.size,1)

batch_x shape: (3427,) batch_x dtype: object

the array try convert looks (batch_x):

 [[[ 240.  240.  240.]   [ 240.  240.  240.]   [ 240.  240.  240.]   ...,   [ 240.  240.  240.]   [ 240.  240.  240.]   [ 240.  240.  240.]]   [[ 112.  115.  118.]   [ 112.  115.  118.]   [ 112.  115.  118.]   ...,   [ 116.  119.  124.]   [ 116.  119.  124.]   [ 116.  119.  124.]]   [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]   ...,  [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]   [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]   [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]] ###### [[[ 240.  240.  240.]   [ 240.  240.  240.]   [ 240.  240.  240.]   ...,   [ 240.  240.  240.]   [ 240.  240.  240.]   [ 240.  240.  240.]]   [[ 112.  115.  118.]   [ 112.  115.  118.]   [ 112.  115.  118.]   ...,   [ 116.  119.  124.]   [ 116.  119.  124.]   [ 116.  119.  124.]]   [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]   ...,  [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]   [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]   [[  33.   37.   43.]   [  33.   37.   43.]   [  33.   37.   43.]   ...,   [  40.   44.   52.]   [  40.   44.   52.]   [  40.   44.   52.]]]


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