I am working in python and am loading a text file that looks like this:
3 4
5 6
7 8
9 10
I use np.loadtxt('filename.txt') and it outputs an array like this:
([[3, 4]
[5, 6]
[7, 8]
[9, 10]])
However, I want an array that looks like:
([3, 5, 7, 9], [4, 6, 8, 10])
Anyone know what I can do besides copying the array and reformatting it manually? I have tried a few things but they don't work.
Per my comment:
>>> x
array([[ 3, 4],
[ 5, 6],
[ 7, 8],
[ 9, 10]])
>>> numpy.transpose(x)
array([[ 3, 5, 7, 9],
[ 4, 6, 8, 10]])
You can use the unpack option of np.loadtxt:
np.loadtxt('filename.txt', unpack=True)
This will directly give you your array transposed. (http://docs.scipy.org/doc/numpy/reference/generated/numpy.loadtxt.html).
Another option is to use the transpose function for your numpy array:
your_array = np.loadtxt('filename.txt')
print(your_array)
([[3, 4]
[5, 6]
[7, 8]
[9, 10]])
new_array = your_array.T
print(new_array)
([3, 5, 7, 9], [4, 6, 8, 10])
The transpose method will return you the transposed array, not transpose in place.
The best way to do this is to use the transpose method as follows:
import numpy as np
load_textdata = np.loadtxt('filename.txt')
data = np.transpose(load_textdata)
