【发布时间】:2017-05-26 09:59:12
【问题描述】:
假设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'))
给出:
+--------------+-----+-----+-----+-----+-----+-----+
| 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']
将使用打印语句给出:
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,这不会在 pweave 等文档上很好地呈现。
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
【问题讨论】:
标签: python python-3.x pandas python-3.5 pweave