Convert a Numpy ndarray to LaTeX table/tabular environment.

np2lat.py

import numpy as np

def np2lat(A):
	filename = 'table.tex'
	f = open(filename, 'a')
	cols = A.shape[1]

	# Change alignment and format of your output
	tabformat = '%.3f'
	tabalign = 'c'*cols

	f.write('\n\\begin{table}[h]\n')
	f.write('\\centering\n')
	f.write('\\begin{tabular}{%s}\n' %tabalign)
	
	# Use some numpy magic, just addding correct delimiter and newlines
	np.savetxt(f, A, fmt=tabformat, delimiter='\t&\t', newline='\t \\\\ \n')

	f.write('\\end{tabular}\n')
	f.write('\\end{table}\n')
	
	f.flush()
	f.close()  	#  When you leave a nested block, Python automatically calls f.close(), but in other case, it's safe to include
 
M = np.array([[12, 5, 2], [20, 4, 8], [ 2, 4, 3], [ 7, 1, 10]])
np2lat(M)

@OlivelliAri Hi! Sorry for taking too long to get back to you.

Are you using the gist itself, or a modified version of the code? What version of numpy are you using? You can check this out by running print(numpy.version.version), as I think np.savetxt() was introduced around v1.10.

If the result returns an empty file, it might be the case of either wrong permissions on the file, or the function not exiting correctly, and the file not being closed (eg. if it is not part of a nested block). I have added two more lines to f.flush() and f.close() the file. Can you check with these two lines and tell me what the result is?