Pandas: how to split one row of data to multiple rows and columns in Python

[GerardMoussendo]

Hi GerardMoussendo,

Could you post the Full Code ?

It would help me, with coming up with a solution for you.

Regards

Eddie Winch

Here is my entire code:

import numpy as np
import pylab
import matplotlib.pyplot as plt
import pandas as pd


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)
s = np.arange(len(l)).reshape(-1,5)
print(s)
pylab.plot(s)
pylab.show()

Now, it seems like

s = np.arange(len(l)).reshape(-1,5)

can work right? But how can I save the s reshaped data? I am having difficulty saving it in .npy
After reshaped, I have this result below:

[[ 0 1 2 3 4]
[ 5 6 7 8 9]
[ 10 11 12 13 14]
...
[1583985 1583986 1583987 1583988 1583989]
[1583990 1583991 1583992 1583993 1583994]
[1583995 1583996 1583997 1583998 1583999]]