Python 从一个TSV文件中读取多行，并基于列使用逗号追加数据

如何基于TSV文件中的列索引解析数据？ 一旦我们从文件中读取数据，我们必须检查第0列第1行数据和第0列第2行数据，如果匹配，则获取第1列第1行数据，并需要在第1列第1行中追加所有匹配的条目

比如说,， SystemType.tsv文件

Actrius  1990s drama films 
Actrius  Catalan language films 
Actrius  Spanish films 
Actrius  Barcelona in fiction 
Actrius  Films directed by Ventura Pons 
Actrius  1996 films 
An_American_in_Paris     Compositions by George Gershwin 
An_American_in_Paris     Symphonic poems 
An_American_in_Paris     Grammy Hall of Fame Award recipients 

在第0列的第1行中有“Actrius”，因此我们需要比较第0列中的所有行，并将匹配条目放置在第1列值中，以逗号分隔形式如下

输出：

Actrius   1990s drama flims,Cataln language flims,Spanish flims,Barcelona in fiction,Films directed by Ventura Pons,1996 films
An_American_in_Paris    Compositions by George Gershwin,Symphonic poems,Grammy Hall of Fame Award recipients

我试过这个，但不适合我。

以下是我的想法（Python3，但我认为唯一的区别应该是我的打印函数。如果你想使用它写入输出文件，你可以从uuu未来uuu导入打印u函数中

）：

我的输出是：

Actrius 1990s drama films,Catalan language films,Spanish films,Barcelona in fiction,Films directed by Ventura Pons,1996 films
An_American_in_Paris    Compositions by George Gershwin,Symphonic poems,Grammy Hall of Fame Award recipients

import collections

# I used variable "input" to hold the string from your example .tsv contents;
# you'd really want to read it in from a file.

D = collections.OrderedDict()
for line in input.splitlines():
    key, value = line.split('\t')
    if key not in D:
        D[key] = []
    D[key].append(value.strip())

for key, values in D.items():
    print(key, ','.join(values), sep='\t')

Actrius 1990s drama films,Catalan language films,Spanish films,Barcelona in fiction,Films directed by Ventura Pons,1996 films
An_American_in_Paris    Compositions by George Gershwin,Symphonic poems,Grammy Hall of Fame Award recipients