减去两个同名不同索引的数据帧

Question

There's two dataframes, all the colnames are the same but the index is different. I've tried several ways but I've been getting NaN . I'm guessing it is because it's trying to match the index but I am stuck.

I've tried:

df1.ix['Norm']-df2.ix['Norm']
df1 - df2.ix['Norm']
df1.astype(float) - df2.astype(float)

would like something like this

df1 - df2[df1.column.names]

Answer 1

When you don't want index-aligned arithmetic, get rid of the indexes. You can subtract the numpy arrays to the same effect:

(df1.values - df2[df1.column.names].values)