我有一个从数据库生成的 Pandas Dataframe，其中包含混合编码的数据。例如:

+----+-------------------------+----------+------------+------------------------------------------------+--------------------------------------------------------+--------------+-----------------------+
| ID | path                    | language | date       | longest_sentence                               | shortest_sentence                                      | number_words | readability_consensus |
+----+-------------------------+----------+------------+------------------------------------------------+--------------------------------------------------------+--------------+-----------------------+
| 0  | data/Eng/Sagitarius.txt | Eng      | 2015-09-17 | With administrative experience in the prepa... | I am able to relocate internationally on short not...  | 306          | 11th and 12th grade   |
+----+-------------------------+----------+------------+------------------------------------------------+--------------------------------------------------------+--------------+-----------------------+
| 31 | data/Nor/Høylandet.txt  | Nor      | 2015-07-22 | Høgskolen i Østfold er et eksempel...          | Som skuespiller har jeg både...                        | 253          | 15th and 16th grade   |
+----+-------------------------+----------+------------+------------------------------------------------+--------------------------------------------------------+--------------+-----------------------+

正如所见，英语和挪威语混合在一起(我认为在数据库中编码为 ISO-8859-1)。我需要将此 Dataframe 输出的内容作为 Markdown 表获取，但不会出现编码问题。我关注了this answer (来自问题 Generate Markdown tables? )并得到以下信息:

import sys, sqlite3

db = sqlite3.connect("Applications.db")
df = pd.read_sql_query("SELECT path, language, date, longest_sentence, shortest_sentence, number_words, readability_consensus FROM applications ORDER BY date(date) DESC", db)
db.close()

rows = []
for index, row in df.iterrows():
    items = (row['date'], 
             row['path'], 
             row['language'], 
             row['shortest_sentence'],
             row['longest_sentence'], 
             row['number_words'], 
             row['readability_consensus'])
    rows.append(items)

headings = ['Date', 
            'Path', 
            'Language',
            'Shortest Sentence', 
            'Longest Sentence since', 
            'Words',
            'Grade level']

fields = [0, 1, 2, 3, 4, 5, 6]
align = [('^', '<'), ('^', '^'), ('^', '<'), ('^', '^'), ('^', '>'),
         ('^','^'), ('^','^')]

table(sys.stdout, rows, fields, headings, align)

但是，这会产生 UnicodeEncodeError: 'ascii' codec can't encode character u'\xe5' in position 72: ordinal not in range(128) 错误。如何将 Dataframe 输出为 Markdown 表？也就是说，为了将此代码存储在文件中以用于编写 Markdown 文档。我需要输出如下所示:

| ID | path                    | language | date       | longest_sentence                               | shortest_sentence                                      | number_words | readability_consensus |
|----|-------------------------|----------|------------|------------------------------------------------|--------------------------------------------------------|--------------|-----------------------|
| 0  | data/Eng/Sagitarius.txt | Eng      | 2015-09-17 | With administrative experience in the prepa... | I am able to relocate internationally on short not...  | 306          | 11th and 12th grade   |
| 31 | data/Nor/Høylandet.txt  | Nor      | 2015-07-22 | Høgskolen i Østfold er et eksempel...          | Som skuespiller har jeg både...                        | 253          | 15th and 16th grade   |

最佳答案

Pandas 1.0 于 2020 年 1 月 29 日发布，支持 markdown 转换，现在可以直接做啦!

示例取自 docs :

df = pd.DataFrame({"A": [1, 2, 3], "B": [1, 2, 3]}, index=['a', 'a', 'b'])
print(df.to_markdown())

|    |   A |   B |
|:---|----:|----:|
| a  |   1 |   1 |
| a  |   2 |   2 |
| b  |   3 |   3 |

或者没有索引:

print(df.to_markdown(index=False)) # use 'showindex' for pandas < 1.1

|   A |   B |
|----:|----:|
|   1 |   1 |
|   2 |   2 |
|   3 |   3 |

关于python - 以编程方式将 Pandas 数据框转换为 Markdown 表，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/33181846/