说我有一个熊猫数据框：
import numpy as np
import pandas as pd
from tabulate import tabulate
A = pd.DataFrame(np.random.randint(0,10,(3,6)),index= ['uno','dos','tres'])
A.columns = ['A','B','C','D','E','F']
A.index.names = ['type']
A.columns.names= ['group']
h = [A.index.names[0] +'/'+ A.columns.names[0]] + list(A.columns)
print(tabulate(A,headers= h,tablefmt= 'grid'))
这使：
+--------------+-----+-----+-----+-----+-----+-----+
| type/group | A | B | C | D | E | F |
+==============+=====+=====+=====+=====+=====+=====+
| uno | 3 | 1 | 6 | 0 | 7 | 0 |
+--------------+-----+-----+-----+-----+-----+-----+
| dos | 9 | 5 | 3 | 0 | 6 | 6 |
+--------------+-----+-----+-----+-----+-----+-----+
| tres | 6 | 7 | 4 | 6 | 8 | 4 |
+--------------+-----+-----+-----+-----+-----+-----+
现在添加一个图层：
iterable = [['A','B'],['AA','BB','CC']]
A.columns = pd.MultiIndex.from_product(iterable,names= ['group','subgroup'])
A.index.names = ['type']
将使用打印声明给出：
group A B
subgroup AA BB CC AA BB CC
type
uno 3 1 6 0 7 0
dos 9 5 3 0 6 6
tres 6 7 4 6 8 4
通常,这在诸如pweave的文档上不能很好地呈现.
我如何使用print(tabulate(…)),例如我将每个组和子组显示在单独的行上？
谢谢
随着tabulate版本0.8.1或更新版本,
import numpy as np
import pandas as pd
from tabulate import tabulate
A = pd.DataFrame(np.random.randint(0,'F']
A.index.names = ['type']
A.columns.names= ['group']
iterable = [['A','subgroup'])
h = [A.index.names[0] +'/'+ A.columns.names[0]] + list(map('n'.join,A.columns.tolist()))
print(tabulate(A,tablefmt= 'grid'))
产量
+--------------+------+------+------+------+------+------+
| type/group | A | A | A | B | B | B |
| | AA | BB | CC | AA | BB | CC |
+==============+======+======+======+======+======+======+
| uno | 8 | 4 | 3 | 3 | 4 | 2 |
+--------------+------+------+------+------+------+------+
| dos | 1 | 1 | 1 | 9 | 8 | 9 |
+--------------+------+------+------+------+------+------+
| tres | 0 | 4 | 3 | 6 | 1 | 7 |
+--------------+------+------+------+------+------+------+
