I have a function to calculate the average vector for each name which is made of many words, this function is returning numpy.ndarray with shape of (100,). The resulting vector is as the following:
[ 0.00127441 0.0002633 0.00039622 0.00055501 0.00070984 -0.00089766
-0.00073814 -0.00224919 0.00233035 -0.00037628 0.00125402 -0.00052623
0.00114087 -0.00070441 -0.00419099 0.00031204 -0.0002703 -0.00290918
...(13 lines)
0.00260704 -0.00000406 -0.00160876 0.00134342]
As upon receiving the numpy array, I am removing line breaks as follows:
temp = ["%.8f" % number for number in name_avg_vector]
temp=re.sub('\s+', ' ', temp)
name_avg_vector= np.array(list(temp))
but I am getting the following error:
---> 79 temp=re.sub('\s+', ' ', name_avg_vector)
TypeError: cannot use a string pattern on a bytes-like object
I also tried changing the printoptions, but I continue having the break line in the file storing the numpy array values:
import sys
np.set_printoptions(threshold=sys.maxsize)
np.set_printoptions(threshold=np.inf)
After, I tried with array_repr to remove the break line:
name_avg_vector = np.array_repr(name_avg_vector).replace('\n', '')
but it saves as:
['array([-0.00849786, 0.00113221, -0.00643946, 0.00437448, -0.00740928, 0.00381133, 0.00178376, -0.00065115, -0.00050142, -0.0001178 , 0.00029183, 0.00015484, -0.00001569, 0.0006973 , 0.00051486, 0.00006652, -0.00099618, -0.00049231, 0.0003479 , 0.00135821, 0.00078396, 0.00038927, 0.00040825, -0.00093267, 0.00025755, -0.00012063, -0.00074733, 0.00120466, 0.00041425, -0.00062592, 0.00098112, 0.00101578, -0.00048335, 0.00079251, -0.00112981,
...
-0.00050014, 0.00133685, -0.00020537, -0.00082505])']
As stated by Anoyz in here, converting to list gets rid of break lines such as name_avg_vector.tolist().
Thanks
0.00127441 0.0002633 0.00039622 0.00055501 0.00070984 -0.00089766where after -0.00089766 there is a\nto split the line, every 6 float numbers, the array is broken to the next line. I read that linewidth=75 by default, The shape of this array is (100,)print(name_avg_vector). This isn't data stored in the array.np.array_repr()the break lines were gone, but the legend'array(..was added.np.saveandnp.loadto retrieve it. Ofsavetxtif it is 2d and you want a textcsvstyle file.