matplotlib is for the weaks

stdout_plot.py

def plot(array, width, height):
	size = len(array)
	y = [array[int(round(k*size/width)):int(round((k+1)*size/width))] for k in range(width)]
	y = [np.mean(k) for k in y[5:]] #y[5:] when the firsts values are too big
	y = height*(y-np.min(y))/(np.max(y)-np.min(y))
	res = np.array(list([list('#'*int(round(y[k]))+' '*int(round(height-y[k]))) for k in range(len(y))]))
	res = np.rot90(res, k=1, axes=(0,1))
	for r in res:
		print(''.join(r))