Python Prettytable 分隔每个表

Posted 2023-02-16

【中文标题】Python Prettytable 分隔每个表

【英文标题】：Python Prettytable Separating Each Table

【发布时间】：2021-12-14 04:50:21

【问题描述】：

我有一个小问题。如果它们具有相同的列名，我如何拆分表？

这是一个例子：

+----------------------------+
|       AUDIO TRACKS         |
+----+----------+------------+
| ID | LangCode | LangName   |
+----+----------+------------+
| 1  | de       | German     |
| 2  | de       | German     |
| 3  | en       | English    | 
| 4  | en       | English    |
| 5  | es       | Spanish    |
| 6  | es       | Spanish    |
+----------------------------+

这是我想要的输出

+----------------------------+
|       AUDIO TRACKS         |
+----+----------+------------+
| ID | LangCode | LangName   |
+----+----------+------------+
| 1  | de       | German     |
| 2  | de       | German     |
|----------------------------|
| 3  | en       | English    | 
| 4  | en       | English    |
|----------------------------|
| 5  | es       | Spanish    |
| 6  | es       | Spanish    |
+----------------------------+

【参考方案1】：

您可以使用 itertools.groupby 执行此操作，并在每个组之后添加 split_row，如下所示：

from prettytable import PrettyTable
from itertools import groupby

myTable = PrettyTable(["ID", "LongCode", "LangName"])
  
lst = [["1", "de", "German"], ["2", "de", "German"], 
       ["3", "en", "English"], ["4", "en", "English"],
       ["5", "es", "Spanish"], ["4", "es", "Spanish"]]

split_row = ['—' * x for x in [2, 8, 10]]

myTable.title = 'AUDIO TRACKS'
for key, group in groupby(lst, lambda x: x[1]):
    for g in group:
        myTable.add_row(g)
    myTable.add_row(split_row)
print(myTable)

输出：

+----------------------------+
|        AUDIO TRACKS        |
+----+----------+------------+
| ID | LongCode |  LangName  |
+----+----------+------------+
| 1  |    de    |   German   |
| 2  |    de    |   German   |
| —— | ———————— | —————————— |
| 3  |    en    |  English   |
| 4  |    en    |  English   |
| —— | ———————— | —————————— |
| 5  |    es    |  Spanish   |
| 4  |    es    |  Spanish   |
| —— | ———————— | —————————— |
+----+----------+------------+

【讨论】：

非常感谢 :) 这就是我要找的。我为 split_row 做了一点点，因为我有这么多列，就是乘以破折号 :)

@mark12345 已编辑答案