使用 SciLearn Kit 读取 Pandas 数据框时遇到问题

Question

我是 Python 新手，在使用 Pandas 创建的数据帧上使用 SciLearn Kit 时遇到问题。下面是代码：

import numpy as np

import pandas as pd

import seaborn as sns

import matplotlib as plt

import json

%matplotlib inline

data = pd.read_json('C:/Users/Desktop/Machine Learning/yelp_academic_dataset_business.json', lines=True, orient='columns', encoding='utf-8')

dataframe = pd.DataFrame(data)

list(dataframe)

subset_data = dataframe.loc[(dataframe.city == 'Toronto')]

print(subset_data)

documents = subset_data.to_dict('records')

from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer

no_features = 1000

# NMF is able to use tf-idf

tfidf_vectorizer = TfidfVectorizer(max_df=0.95, min_df=2, max_features=no_features, stop_words='english')

tfidf = tfidf_vectorizer.fit_transform(documents)

tfidf_feature_names = tfidf_vectorizer.get_feature_names()

# LDA can only use raw term counts for LDA because it is a probabilistic graphical model

tf_vectorizer = CountVectorizer(max_df=0.95, min_df=2, max_features=no_features, stop_words='english')

tf = tf_vectorizer.fit_transform(documents)

tf_feature_names = tf_vectorizer.get_feature_names()

下面是我得到的错误。

AttributeError: 'dict' object has no attribute 'lower'

数据集可在此处获得：kaggle.com/yelp-dataset/yelp-dataset 数据集：yelp_academic_dataset_business.json

任何帮助将不胜感激。谢谢你。