Read numpy array(matrix) fast from text file

Question

I am having trouble to read a matrix from a text file to a numpy array very fast without any unnecessary copying.

The format is the following:

3   
1   -1  6   5   9   7   0   -7  
0   -5  -5  3   -7  -2  4   3   
-2  -9  -5  6   6   -2  -9  9   
-7  -3  3   -3  3   8   8   -8  
9   3   5   2   -2  4   6   5   
-1  -8  7   -4  -1  3   7   4   
0   -4  -8  -3  2   6   2   -2  
-1  8   6   5   9   8   0   6

The first line (3) indicates the size of the matrix i.e here it is 2^3 = 8x8 matrix

Each column is separated with a \t character and each line is separated with a \n character.

I have tried numpy.loadtxt(), I can specify the row delimiter, skip the first row (the 3) but then I need to specify a column delimiter. Can anyone help please?

np.loadtxt(<path-to-file>, skiprows=1) should work, what is it giving you? — juanpa.arrivillaga
– juanpa.arrivillaga, Commented Oct 11, 2017 at 0:03
docs.scipy.org/doc/numpy-1.13.0/reference/generated/… Read the docs. — cs95
– cs95, Commented Oct 11, 2017 at 0:08
In loadtxt, delimiter splits columns. You can't specify a row delimiter. That should be a straight forward load. — hpaulj
– hpaulj, Commented Oct 11, 2017 at 0:30

Roulbacha · Accepted Answer · 2017-10-11 00:46:16Z

1

@juanpa the loadtxt(path, skiprows=1) works perfectly, thank you so much!

answered Oct 11, 2017 at 0:46

Roulbacha

4679 silver badges20 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

Read numpy array(matrix) fast from text file

1 Answer 1

Comments

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Related