Reputation: 13923
I'm working with a timeseries data pipeline. I created a list of sequences as sequences=list() Then I appended array items of the shape (30,201) on each iteration where 30 is the row count and 201 is my features length. Total items are around 2000. At the end I comnverted my list to array with
3Darray=np.stack(sequences) # I also tried np.array(sequences) as well
Now, my array has the shape(2000,30,201). I want to restore my original 2D features data with the shape (2000*30,201). But when I try
3Darray.resahpe(3Darray.shape[0]*3Darray.shape[1],201)
3Darray.shape
No change in shape happens. What I'm doing wrong here?
I tried to follow this SO answer but I did succeed.
Upvotes: 0
Views: 62
Reputation: 457
You should assign the result of 3Darray.resahpe(3Darray.shape[0]*3Darray.shape[1],201)
to a new variable, see the documentation of reshape:
This will be a new view object if possible; otherwise, it will be a copy. Note there is no guarantee of the memory layout (C- or Fortran- contiguous) of the returned array
Upvotes: 1