如何将python中的蛋白质序列转换为一个热点编码？

import numpy as np

# 定义氨基酸编码映射关系
amino_acids = ['A', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'K', 'L', 'M', 'N', 'P', 'Q', 'R', 'S', 'T', 'V', 'W', 'Y']
amino_acid_map = {amino_acid: i for i, amino_acid in enumerate(amino_acids)}

def encode_protein_sequence(sequence):
    # 初始化热点编码矩阵
    encoding = np.zeros((len(sequence), len(amino_acids)))

    # 将氨基酸序列转换为热点编码
    for i, amino_acid in enumerate(sequence):
        encoding[i, amino_acid_map[amino_acid]] = 1

    return encoding

# 示例蛋白质序列
protein_sequence = 'ACDEFGHIKLMNPQRSTVWY'

# 转换为热点编码
hot_encoding = encode_protein_sequence(protein_sequence)

print(hot_encoding)

[[1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.