Feb-20-2021, 01:34 PM
I have a set of data with one row and several columns. I want to split it into multiple rows and 10 columns (kind of multiple dimensional). Here an example of my data( i have 1583717 samples in total):
VALUES: [ 0 0 0 ... 5740 -11760 8510]
Below is my code:
VALUES: [ 0 0 0 ... 5740 -11760 8510]
Below is my code:
data = np.memmap("F:\data.pcm", dtype='h', mode='r') print("VALUES:", data) pylab.plot(data) pylab.show() np.save("data_signal.npy", data) l = np.load("data_signal.npy") print(l)