如何将对象元素的NumPy数组编码为ASCII?

Question

假设我有四个不同数据类型的列表。我也有一个二维矩阵。我想按列合并它们

说明，在以下源代码中:

train_x_111 == ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
train_y_111 == ['abcd', 'bcde', 'cdef', 'defg', 'efgh', 'fghi', 'ghij', 'hijk', 'ijkl', 'jklm']
train_z_111 == [[0.0, 0.1, 0.2, 0.3],
[0.1, 0.2, 0.3, 0.4],
[0.2, 0.3, 0.4, 0.5],
[0.3, 0.4, 0.5, 0.6],
[0.4, 0.5, 0.6, 0.7],
[0.5, 0.6, 0.7, 0.8],
[0.6, 0.7, 0.8, 0.9],
[ 0.7, 0.8, 0.9, 1.0],
[0.8, 0.9, 1.0, 1.1],
[0.9, 1.0, 1.1, 1.2]]

我希望在文本文件中输出以下内容:

1    a    abcd     0.0     0.1     0.2     0.3
2    b    bcde     0.1     0.2     0.3     0.4
3    c    cdef     0.2     0.3     0.4     0.5
4    d    defg     0.3     0.4     0.5     0.6
5    e    efgh     0.4     0.5     0.6     0.7
6    f    fghi     0.5     0.6     0.7     0.8
7    g    ghij     0.6     0.7     0.8     0.9
8    h    hijk     0.7     0.8     0.9     1.0
9    i    ijkl     0.8     0.9     1.0     1.1
0    j    jklm     0.9     1.0     1.1     1.2

source_code.py

if __name__ == "__main__":
train_x_111, train_y_111, train_z_111 = load_data() # load_data() returns three TF tensors
features_data_int_2d = np.array(train_x_111, dtype=int)
sum_int_1d = np.sum(features_data_int_2d, axis=1)
sum_int_1d = sum_int_1d.reshape(-1, 1)
sum_data_1d_obj = sum_int_1d.astype(np.object_)
features_data_2d_obj = np.array(train_x_111, dtype=np.object_)
classes_data_1d_obj = np.array(train_y_111, dtype=np.object_)
classes_data_1d_obj = classes_data_1d_obj.reshape(10,1)
classes_string_1d_obj = np.array(train_z_111, dtype=np.object_)
classes_string_1d_obj = classes_string_1d_obj.reshape(10, 1)
sum_matrix = np.concatenate((sum_data_1d_obj, classes_data_1d_obj), axis=-1)
sum_matrix = np.concatenate((sum_matrix, classes_string_1d_obj), axis=-1)
sum_matrix = np.concatenate((sum_matrix, features_data_int_2d), axis=-1)
sum_matrix = sum_matrix.encode('ascii')
print(sum_matrix)
np.savetxt("my_file.txt", sum_matrix, fmt='%s', delimiter='t')

错误输出

C:ProgramDataMiniconda3python.exe C:/Users/pc/source/repos/my_project/data_hashing.py
Traceback (most recent call last):
File "C:Userspcsourcereposmy_projectdata_hashing.py", line 151, in <module>
sum_matrix = sum_matrix.encode('ascii')
AttributeError: 'numpy.ndarray' object has no attribute 'encode'
Process finished with exit code 1

我如何编码一个NumPy数组的对象元素到ASCII?

Answer 1

我通过添加以下行

解决了这个问题

sum_matrix = sum_matrix.astype('U')

代替

sum_matrix = sum_matrix.encode('ascii')

Answer 2

.encode('ascii')只适用于字符串，你应该用:

newArray = []
for i in range(len(sum_matrix)):
newLine = []
for j in range(len(sum_matrix[0])):
newLine.append(str(sum_matrix[i][j]).encode('ascii'))
newArray.append(newLine)
sum_matrix = np.array(newArray)

这基本上遍历数组并将每个元素编码并将其全部输入到数组中。可能有一种方法来矢量化编码函数，但我不知道如何使用它。