+-

我想比较两个表中的行,只保留类似的匹配.
import pandas as pd
df = pd.DataFrame.from_items([('a', [0,1,1,0]), ('b', [0,0,1,1]),('c',[1,0,0,1]), ('d',[1,0,1,0])], orient='index', columns=['A', 'B', 'C', 'D'])
df
A B C D
a 0 1 1 0
b 0 0 1 1
c 1 0 0 1
d 1 0 1 0
并在此表中进行转换:
A B C D
a/b 0 0 1 0
a/c 0 0 0 0
a/d 0 0 1 0
a/d 0 0 0 0
b/c 0 0 0 1
b/d 0 0 1 0
c/d 1 0 0 0
最佳答案
您可以使用itertools迭代所有行组合以创建一组新项目,如下所示:
import itertools
new_items = [('{}/{}'.format(i1, i2), r1 * r2)
for (i1, r1), (i2, r2) in itertools.combinations(df.iterrows(), 2)]
transformed = pd.DataFrame.from_items(new_items, orient='index', columns=['A', 'B', 'C', 'D'])
点击查看更多相关文章
转载注明原文:Python Pandas DataFrames:逐行比较两行. - 乐贴网