如何将主题列表从 gensim lda get_document_topics()更改为 DataFrame 格式

如何解决如何将主题列表从 gensim lda get_document_topics()更改为 DataFrame 格式

我已经使用 gensim.models.ldamodel.LdaModel() 进行了一些主题建模，我想标记我的数据，以可视化我的发现。

这是我目前所拥有的：

我当前的数据框有以下列：

['text']['date']['gender']['tokens']['topics']['main_topic']
    

文本只是纯文本数据，日期的形式为(yyyy-mm-dd)，性别是二进制的，女性为1，tokens是预处理后的文本，主题来自：

df['topics'] = LDA_model.get_document_topics(corpus)

和 main_topic 与此 post 的第二个答案略有不同，填充如下：

df['main_topic'] = [int(str(sorted(LDA_model[i],reverse=True,key=lambda x: x[1])[0][0]).zfill(3)) for i in corpus]

最后，topics 和 main_topics 的前 10 行看起来像这样（注意 num_topics=30）：

    topics  main_topic
[(0,0.051341455),(1,0.21204428),(2,0.1145254),(4,0.055585753),(11,0.20260869),(29,0.25616828)]   29
[(0,0.052005265),0.21128647),0.08015486),(3,0.11465485),0.4478401)]  29
[(0,0.05355798),0.1394092),0.10734849),0.32699445),0.273105)] 4
[(0,0.053568278),0.22299954),0.22616898),0.0959242),0.2897638)]  29
[(0,0.05404401),0.4482777),0.141311),0.24849494)]  1
[(0,0.054245334),0.18933308),0.14567153),0.11169399),(23,0.05768766),0.35825193)]   29
[(0,0.05449035),0.114870586),0.13284092),0.075592585),0.13247918),(24,0.06598773),0.32016253)]   29
[(0,0.055871632),0.23100668),0.06832383),0.4730603)]   29
[(0,0.057746172),0.057121024),0.07247137),0.26388222),(13,0.07291462),0.34331965)]  29
[(0,0.057841185),0.19891246),0.09586754),0.5344914)]   29

现在我想要的是：

我想要 30 个新列：“主题 0、主题 1、主题 2、...、主题 29”。对于第一行，我想使用 df['topics'] 并将值保存在新列中，以便：

第 1 行的主题 0 = 0.0513414，第 1 行的主题 1 = 0.21204，第 1 行的主题 2 = 0.11452，第 1 行的主题 3 = 0，依此类推。

但我不知道怎么做。有人可以帮忙吗？

解决方法

我想通了。如果有人希望实现同样的目标：

LDA_model = gensim.models.ldamodel.LdaModel()
dir(gensim.models.ldamodel.LdaModel)

df['topics'] = LDA_model.get_document_topics(corpus)

sf = pd.DataFrame(data=df['topics'])
af = pd.DataFrame()

for i in range(30):
    af[str(i)]=[]

frames = [sf,af]
af = pd.concat(frames).fillna(0)

for i in range(6301):
    for j in range(len(df['topics'][i])):
        af[str(df['topics'][i][j][0])].loc[i] = df['topics'][i][j][1]

（请注意，30 是我的 num_topics，6301 是我在 df['topics' ])

现在数据框 af 看起来像这样 [限制为 5 行和 5 列]：

    topics  0   1   2   3
0   [(1,0.055395175),(5,0.0647138),(7,0.13507782),(9,0.055264555),(13,0.19258575),(21,0.05181323),(27,0.07139948)] 0.0 0.05539517477154732 0.0 0.0
1   [(0,0.052290276),(6,0.064590134),0.24019116),(16,0.07827738),0.0994899)]   0.05229027569293976 0.0 0.0 0.0
2   [(6,0.054943837),0.07324204),(10,0.052613333),(12,0.12482096),0.19818054),(29,0.06280263)]    0.0 0.0 0.0 0.0
3   [(4,0.12759669),(8,0.06937062),0.2261674),0.066699274),(24,0.06150386),0.096883684)] 0.0 0.0 0.0 0.0
4   [(2,0.09043305),0.15643781),0.13145259),0.064689845),(17,0.05019963),0.09253424),(28,0.10176642)]   0.0 0.0 0.09043305367231369 0.0