Pandas 如何从 JSON 索引一个列表并将其放入数据帧中？

如何解决Pandas 如何从 JSON 索引一个列表并将其放入数据帧中？

如何索引数据框内的列表？

我这里有这段代码，它将从 JSON 中获取数据并将其插入到数据帧中

这是 JSON 的样子

{"text_sentiment": "positive","text_probability": [0.33917574607174916,0.26495590980799744,0.3958683441202534]}

这是我的代码。

input_c = pd.DataFrame(columns=['Comments','Result'])
for i in range(input_df.shape[0]):
    url = 'http://classify/?text='+str(input_df.iloc[i])
    r = requests.get(url)
    result = r.json()["text_sentiment"]
    proba = r.json()["text_probability"]
    input_c = input_c.append({'Comments': input_df.loc[i].to_string(index=False),'Result': result,'Probability': proba},ignore_index = True)
st.write(input_c)

结果如下 result

                                     Comments      Result                              Probability
0                This movie is good in my eyes.   neutral    [0.26361889609129974,0.4879752378104797,0.2484058660982205]
1            This is a bad movie it's not good.  negative   [0.5210904912792065,0.22073131008688818,0.25817819863390534]
2     One of the best performance in this year.  positive   [0.14644707145500369,0.3581522311734714,0.49540069737152503]
3                The best movie i've ever seen.  positive   [0.1772046003747405,0.026468108571479156,0.7963272910537804]
4                             The movie is meh.   neutral   [0.24349393167653663,0.6820982528652574,0.07440781545820596]
5  One of the best selling artist in the world.  positive    [0.07738688706903311,0.3329095061233371,0.5897036068076298]

概率列中的数据是我想要索引的数据。

例如：如果结果中的值为“正”，那么我希望概率指数为 2，如果结果为“中性”指数为 1

像这样

                                      Comments     Result        Probability
0                This movie is good in my eyes.   neutral    [0.4879752378104797]
1            This is a bad movie it's not good.  negative    [0.5210904912792065]
2     One of the best performance in this year.  positive   [0.49540069737152503]
3                The best movie i've ever seen.  positive    [0.7963272910537804]
4                             The movie is meh.   neutral    [0.6820982528652574]
5  One of the best selling artist in the world.  positive    [0.5897036068076298]

有什么方法可以做到吗？

解决方法

在您的代码中，您已经决定了 Result 的内容，无论是负数、中性还是正数，因此您只需将概率列表的最大值存储在数据框 input_c 中。

这意味着，将 'Probability': proba 更改为 'Probability': max(proba)，因此修改：

 input_c = input_c.append({'Comments': input_df.loc[i].to_string(index=False),'Result': result,'Probability': proba},ignore_index = True)

到

 input_c = input_c.append({'Comments': input_df.loc[i].to_string(index=False),'Probability': max(proba},ignore_index = True)

然后将input_c 中的索引设置为Probability列，使用

input_c.set_index('Probability')