如何过滤输入，使其仅包含值(无日期)，python

Question

我有一些代码：

df = pd.DataFrame.from_dict({ 'sentencess' : sentencess, 'publishedAts' : publishedAts, 'hasil_sentimens' : hasil_sentimens })
df.to_csv('chart.csv')
df['publishedAts'] = pd.to_datetime(df['publishedAts'], errors='coerce')
by_day_sentiment = df.groupby([pd.Grouper(key='publishedAts',freq='D'),'hasil_sentimens']).size().unstack('hasil_sentimens')
sentiment_dict = by_day_sentiment.to_dict('dict')
sentiment_dict_new = {k: {m.strftime('%Y-%m-%d %H:%M:%S'): v if v == v else 0 for m, v in v.items()} for k, v in sentiment_dict.items()}
print(sentiment_dict_new)

sentiment_dic_now的输出是：

{'Negatif ': {'2019-08-28 00:00:00': 2.0, '2019-08-29 00:00:00': 3.0}, 'Netral ': {'2019-08-28 00:00:00': 1.0, '2019-08-29 00:00:00': 5.0}, 'Positif ': {'2019-08-28 00:00:00': 0, '2019-08-29 00:00:00': 1.0}}

如何过滤它，使其仅包含值(无日期(？ 像这个

Negatif : [2,3]
Netral : [1,5]
Positif : [0,1]

Answer 1

x = {'Negatif ': {'2019-08-28 00:00:00': 2.0, '2019-08-29 00:00:00': 3.0}, 'Netral ': {'2019-08-28 00:00:00': 1.0, '2019-08-29 00:00:00': 5.0}, 'Positif ': {'2019-08-28 00:00:00': 0, '2019-08-29 00:00:00': 1.0}}
{k:list(v.values()) for k, v in x.items()}