IndexError: tuple index out of range while accessing numpy ndarray shape

Question

I am getting

Index error: Tuple index out of range while doing one-hot encoding for smile string at line: 
    if ans.shape[1]<length:

example:

smiles_string= ['C', 'C', '1', '=', 'C', 'C', '(', '=', 'C', 'N', '=', 'C', '1', 'C', '2', '=', 'C', 'C', '(', '=', 'N', 'C', '=', 'C', '2', ')', 'C', ')', 'C', 'C', '(', '=', 'O', ')', 'N', 'C', '3', '=', 'N', 'C', '=', 'C', '(', 'C', '=', 'C', '3', ')', 'C', '4', '=', 'N', 'C', '=', 'C', 'N', '=', 'C', '4']

char_list=['7', '2', '.', 'Br', 'Pt', '=', '[', 'F', '(', ')', 'O', '6', 'S', '5', '1', 'I', ']', '+', '8', '#', 'C', '3', 'B', '9', 'Cl', 'P', '-', '4', 'N']

def onehot_encode(char_list, smiles_string, length):
    encode_row = lambda char: map(int, [c == char for c in smiles_string])
    print(encode_row)
    ans = np.array(map(encode_row, char_list))
    if ans.shape[1] < length:
        residual = np.zeros((len(char_list), length - ans.shape[1]), dtype=np.int8)
        ans = np.concatenate((ans, residual), axis=1)
    return ans

I tried debugging and I found, shape of ans array is (), which should not happen.

If anyone can give an idea about how to map this and solve the error, would be appreciated.

Thank you in advance.

Answer 1

你在没有形状的东西上调用.shape() 。

print(ans)

Out[1]: <map object at 0x000001E9352B8908>