pandas从多个列名列表构造数据帧的最佳方法

Question

l1 = dfx.v1.unique()
l2 = dfx.v2.unique()
day_parts = [1,2,3,4]
week_days = list(calendar.day_name)
df = pd.DataFrame() # what goes here?

l1[0] | l1[1] | ... | l2[0] | l2[1] | ... | day_parts[0] | day_parts[1] | .....
--------------------------------------------------------------------------------
 v     a       c      x       s      ...    2               1            .....
 v     a       c      x       s      ...    2               1            .....
 v     a       c      x       s      ...    2               1            .....
 v     a       c      x       s      ...    2               1            .....
 v     a       c      x       s      ...    2               1            .....

从多个列名列表构建数据框的最佳方法是什么？当然可以附加所有列表，但我想知道是否有更好的pythonic-pandas方法来实现它？

Answer 1

你需要：

L = [l1, l2, day_parts,  week_days]

import itertools

cols = list(itertools.chain(*L))

cols = [item for sublist in L for item in sublist]

cols = sum(L, [])

cols = l1 + l2 + day_parts + week_days

df = pd.DataFrame(columns=cols)