现在我创建一个multi-column DataFrame如下:
column1 = ["A","B","C"]
column2 = ["a","b","c"]
tuples = []
for c1 in column1:
for c2 in column2:
tuples += [(i1,i2)]
columns = pd.MultiIndex.from_tuples(tuples, names=['Large index', 'Small index'])
q = pd.DataFrame(index = t, columns = columns )
q.loc[:, ("A","a")] = 1
现在我想知道:是否有更简单的语法来提供相同的内容? 干杯!
答案 0 :(得分:1)
您可以使用pd.MultiIndex.from_product
,从多个迭代的笛卡尔积中创建一个MultiIndex :
import pandas as pd
pd.DataFrame(columns=pd.MultiIndex.from_product([column1, column2], names=['Large index', 'Small index']))
#Large index A B C
#Small index a b c a b c a b c