python - 为什么我无法将输出数据帧转换为csv？ AttributeError:“NoneType”对象没有属性“to_csv”

import pandas as pd
import csv
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

with open('Before.csv', "r", errors='ignore') as f:
    reader = csv.reader(f)
    your_list = list(reader)

analyser = SentimentIntensityAnalyzer()

def print_sentiment_scores(alist):
    for aSentence in alist:
      aSnt = analyser.polarity_scores(aSentence[0])
      print(str(aSnt))

print_sentiment_scores(your_list)

我的输出代表是：

{'neg': 0.0, 'neu': 0.492, 'pos': 0.508, 'compound': 0.4754}
{'neg': 0.0, 'neu': 0.367, 'pos': 0.633, 'compound': 0.7845}
{'neg': 0.0, 'neu': 0.691, 'pos': 0.309, 'compound': 0.8004}
{'neg': 0.0, 'neu': 0.462, 'pos': 0.538, 'compound': 0.5413}
{'neg': 0.0, 'neu': 0.636, 'pos': 0.364, 'compound': 0.7906}

所以我做了df_before = print_sentiment_scores（您的清单）

and then df_before.to_csv("df_Before_sentiment.csv")

但是我收到一个错误AttributeError：'NoneType'对象没有属性'to_csv'。如何将我的print_sentiment_scores（your_list）的输出转换为数据帧格式的csv，以便所有值都显示在每个标题下，例如neg，neu，pos，compound？

最佳答案

您需要像这样修复您的print_sentiment_scores：

def print_sentiment_scores(alist):
    polarity_scores = []
    for aSentence in alist:
        aSnt = analyser.polarity_scores(aSentence[0])
        print(str(aSnt))
        polarity_scores += [aSnt]

    return polarity_scores

这将返回以下列表：

[
    {'neg': 0.0, 'neu': 0.492, 'pos': 0.508, 'compound': 0.4754},
    {'neg': 0.0, 'neu': 0.367, 'pos': 0.633, 'compound': 0.7845},
    {'neg': 0.0, 'neu': 0.691, 'pos': 0.309, 'compound': 0.8004},
    {'neg': 0.0, 'neu': 0.462, 'pos': 0.538, 'compound': 0.5413},
    {'neg': 0.0, 'neu': 0.636, 'pos': 0.364, 'compound': 0.7906}
]

最后，这将生成所需的csv：

output_df = DataFrame(print_sentiment_scores(your_list))
output_df.to_csv('some_name.csv')

关于python - 为什么我无法将输出数据帧转换为csv？ AttributeError:“NoneType”对象没有属性“to_csv”，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/57579268/