根据列值重新排列行

Question

我有一个 DataFrame，我想在其中重新排列给定列的数据。

我有：

    text                                                KEYWORD
0   Fetch.ai will transform economies, healthcare,...   supplies chain issues
1                                                       self
2                                                       secured key partnership
3                                                       real world challenge
4                                                       autonomous economic agent
5                                                       learning traffic signal
6                                                       autonomous machine learning
7                                                       disruptive ai tech
8                                                       parking issues
9                                                       traffic reduction
10      
11      
12  The two most popular cryptocurrencies on the p...   bitcoin
13                                                      limited supplies
14                                                      ethereum

我想要什么：

    text                                                KEYWORD
0   Fetch.ai will transform economies, healthcare,...   supplies chain issues, self, secured key partnership,  real world challenge, autonomous economic agent, learning traffic signal, autonomous machine learning, disruptive ai tech, parking issues, traffic reduction
1   The two most popular cryptocurrencies on the p...   bitcoin, limited supplies, emphasized text, ethereum

包含文本的每一行都显示在“文本”列中。 “文本”列已被分析，关键字已从中提取并显示在“KEYWORD”列中。烦人的部分是，如果从“文本”列中提取 10 个关键词，它将创建 10 行并每行添加 1 个关键词。我想将所有这些关键字加入一行（对应于好文）。

很遗憾，我无法访问由软件完成的关键字提取过程。

Answer 1

试试 groupby:

#replace blank cells with NaN
df = df.replace(r"^\s*$",np.nan,regex=True)

#drop rows that are all NaN and forward fill
df = df.dropna(how="all").ffill()

#groupby and aggregate
output = df.groupby("text", as_index=False)["KEYWORD"].agg(", ".join)

>>> output
                                                text                                            KEYWORD
0  Fetch.ai will transform economies, healthcare,...  supplies chain issues, self, secured key partn...
1  The two most popular cryptocurrencies on the p...                bitcoin, limited supplies, ethereum

根据列值重新排列行

Rearrange row upon column value

python

dataframe

pandas

keyword-extraction