计算两个txt文档中光谱的余弦距离的python代码

可以使用Python中的SciPy库中的spatial.distance.cosine函数来计算两个文本文件中光谱的余弦距离。具体代码如下：

from scipy.spatial import distance
import string

def get_cosine_distance(file1, file2):
    with open(file1) as f1, open(file2) as f2:
        text1 = f1.read()
        text2 = f2.read()
        translator = str.maketrans('', '', string.punctuation)
        text1 = text1.translate(translator)
        text2 = text2.translate(translator)
        vector1 = text1.lower().split()
        vector2 = text2.lower().split()
        # 去除停用词等无关词汇
        vector1 = [word for word in vector1 if word not in stopwords]
        vector2 = [word for word in vector2 if word not in stopwords]
        # 构建词频向量
        word_set = set(vector1).union(set(vector2))
        vector1_dict = dict.fromkeys(word_set, )
        vector2_dict = dict.fromkeys(word_set, )
        for word in vector1:
            vector1_dict[word] += 1
        for word in vector2:
            vector2_dict[word] += 1
        # 计算余弦距离
        vector1_list = [vector1_dict[word] for word in word_set]
        vector2_list = [vector2_dict[word] for word in word_set]
        cosine_distance = 1 - distance.cosine(vector1_list, vector2_list)
        return cosine_distance

其中，file1和file2分别表示两个文本文件的路径，stopwords是一个停用词列表，可以根据实际情况进行修改。