这是图书推荐器的代码。我在 Mac 中遇到此错误,但在 Windows 中完美运行。
from flask import Flask, render_template, request
import pickle
import numpy as np
import os
import pickletools
popular_df = pickle.load(open('//Volumes//Work//1brs//book-recommender-system/popular.pkl', 'rb'))
pt = pickle.load(open('pt.pkl', 'rb'))
books = pickle.load(open('books.pkl', 'rb'))
similarity_scores = pickle.load(open('similarity_scores.pkl', 'rb'))
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html',
book_name=list(popular_df['Book-Title'].values),
author=list(popular_df['Book-Author'].values),
image=list(popular_df['Image-URL-M'].values),
votes=list(popular_df['num_ratings'].values),
rating=list(popular_df['avg_rating'].values)
)
@app.route('/recommend')
def recommend_ui():
return render_template('recommend.html')
@app.route('/recommend_books', methods=['post'])
def recommend():
user_input = request.form.get('user_input')
index = np.where(pt.index == user_input)[0][0]
similar_items = sorted(list(enumerate(similarity_scores[index])), key=lambda x: x[1], reverse=True)[1:5]
data = []
for i in similar_items:
item = []
temp_df = books[books['Book-Title'] == pt.index[i[0]]]
item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Title'].values))
item.extend(list(temp_df.drop_duplicates('Book-Title')['Book-Author'].values))
item.extend(list(temp_df.drop_duplicates('Book-Title')['Image-URL-M'].values))
data.append(item)
print(data)
return render_template('recommend.html', data=data)
if __name__ == '__main__':
app.run(debug=True, port=8000)
这是代码,这是错误
Traceback (most recent call last):
File "/Volumes/Work/1brs/book-recommender-system/app.py", line 8, in <module>
popular_df = pickle.load(open('//Volumes//Work//1brs//book-recommender-system/popular.pkl', 'rb'))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'pandas.core.indexes.numeric'
Process finished with exit code 1
我尝试过使用 virtual env 和 conda 甚至全局但仍然相同。 chatgpt 一直说检查 pandas lib 但问题仍然存在
看起来实际上是 pandas 版本的错误
pip install "pandas<2.0.0"
通过安装旧版 pandas 解决了问题