Translation of table data (x, y) from dat file to list?

Question

Python

I'm having a problem reading a datian file. I am reading data and writing to numpy array:

spoiler

m = 'model_spectrum_090412.dat'
f = open(m, 'r')
pmod = f.read()
model = np.array( for k in f)
f.close()

g = '090412.dat'
f1 = open(g, 'r')
pdat = f1.read()
data = np.array( for t in g)
f1.close()

But then, when checking what happened, it gives out a 0-dimensional array, and when you try to translate it into a list, the desired one does not work. Of course, if there is an option to filter the data of one graph, not through the list, by selecting the nearest points to it from the other, that is, to remove from the model graph all points that do not have the nearest point from the experimental one.

Answer 1

f = open("data.dat", "r", encoding="utf-8")
n = []
for i in f:
n.append([i.split()[0], i.split() [1]])
print(n)
f.close()