如何在 Pandas Python 中组合两个数据帧？

Question

I have two DataFrames like below:

most_common_OMT = data["Order Method Type"].value_counts().sort_values(ascending=False).to_frame()
most_common_OMT

profitability_OMT = data.groupby("Order Method Type").agg({"Total Revenue":"mean"}).round(2).sort_values(by="Total Revenue",ascending=False)
profitability_OMT

And how can I combine these two tables so as to acheive DataFrame like below. It is not important what will be the index, simply I need to have table something like below.

Answer 1

让我们做

out = pd.concat([most_common_OMT, profitability_OMT], axis=1)