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How can I pretty-print ASCII tables with Python? [closed] 13 answers
如何用Python漂亮地打印ASCII表？ [已关闭] 13个答案

I have this list of lists:

我有这个列表清单：

tableData = [['apples', 'oranges', 'cherries', 'banana'],
             ['Alice', 'Bob', 'Carol', 'David'],
             ['dogs', 'cats', 'moose', 'goose']]

that i have to transform into this table:

我必须转换成这个表：

apples      Alice    dogs
oranges       Bob    cats 
cherries    Carol    moose 
banana      David    goose

The trick for me, is have the "lines" to be converted into columns (i.e. apples, oranges, cherries, banana under same column)

对我来说，诀窍是将“线”转换成列（即同一列下的苹果，橘子，樱桃，香蕉）

I have tried different options (A):

我尝试过不同的选择（A）：

for row in tableData:
        output = [row[0].ljust(20)]
            for col in row[1:]:
             output.append(col.rjust(10))
            print(' '.join(output))

option (B):

选项（B）：

method 2

for i in tableData:
    print( i[0].ljust(10)+(str(i[1].ljust(15)))+(str(i[2].ljust(15)))+
    (str(i[3].ljust(15))))

None seems to address the issue.
Thanks in advance for any suggestions.

似乎没有人能解决这个问题。在此先感谢您的任何建议。

4 个解决方案

#1

To transpose the table, use the zip-and-splat trick.

要转置表格，请使用zip-and-splat技巧。

To left-or-right-justify cells, use the format spec language:

要左对齐或右对齐单元格，请使用格式规范语言：

>>> for row in zip(*tableData):
...     print '{:<10}{:>7}    {:<10}'.format(*row)
...     
apples      Alice    dogs      
oranges       Bob    cats      
cherries    Carol    moose     
banana      David    goose

#2

The easiest way to "flip" the nested list is to use zip:

“翻转”嵌套列表的最简单方法是使用zip：

for fruit, name, animal in zip(*tableData):
    print(fruit.ljust(10), name.ljust(10), animal.ljust(10))

This prints:

这打印：

apples     Alice      dogs
oranges    Bob        cats
cherries   Carol      moose
banana     David      goose

#3

One could also play around with pandas.DataFrame:

一个人也可以玩pandas.DataFrame：

In [22]: import pandas as pd
In [22]: pd.DataFrame(tableData).T # .T means transpose the dataframe
Out[22]:
          0      1      2
0    apples  Alice   dogs
1   oranges    Bob   cats
2  cherries  Carol  moose
3    banana  David  goose

Remove those annoying numbers by setting columns and indices to blank:

通过将列和索引设置为空来删除那些烦人的数字：

In [27]: l1, l2 = len(tableData), len(tableData[0])

In [28]: pd.DataFrame(tableData, index=['']*l1, columns=['']*l2).T
Out[28]:

    apples  Alice   dogs
   oranges    Bob   cats
  cherries  Carol  moose
    banana  David  goose

#4

There is already a builtin function for this: zip.

已有内置功能：zip。

zip(* [['apples', 'oranges', 'cherries', 'banana'],
       ['Alice', 'Bob', 'Carol', 'David'],
       ['dogs', 'cats', 'moose', 'goose']])

#1