Write an large array to a text file with specific format (as it is)-CodePudding

I need to write several NxM arrays generated with numpy to ascii files in the following format: tab separated values, row per line, no brackets, the dimension of the array (columns rows) in the header.

I have tried something like this:

import numpy as np

mat = np.random.random((73,92))
dim = mat.shape

header = "{col}\t{row}\n".format(row = dim[0], col = dim[1])
content = str(mat).replace(' [', '').replace('[', '').replace(']', '').replace(' ', '\t')

mat_PM  = open('./output_file.dat', "w ")

mat_PM.write(header)
mat_PM.write(content)

mat_PM.close()

which returns a file with a summarized array, like this:

How do we print the full array?.

Any help is much appreciated.

CodePudding user response：

Numpy has a function to write arrays to text files with lots of formatting options - see the docs for numpy.savetxt and the user guide intro to saving and loading numpy objects.

In your case, something like the following should work:

with open('./output_file.dat', "w ") as mat_PM:
    mat_PM.write(header)
    np.savetxt(mat_PM, mat, fmt="