如何将功能应用于多个 pandas 数据框 [英] How to apply function to multiple pandas dataframe

问题描述

我有多个数据框:

df1, df2, df3,..., dfn

它们具有相同类型的数据，但来自无法连接的不同描述符组.现在，我需要手动将相同的功能应用于每个数据框.

They have the same type of data but from different groups of descriptors that cannot be joined. Now I need to apply the same function to each dataframe manually.

如何将相同的功能应用于多个数据框?

How can I apply the same function to multiple dataframes?

推荐答案

如果数据框具有相同的列，则可以

If the data frames have the same columns you could concat them to a single data frame, but otherwise there is not really a "smart" way of doing it:

df1, df2, df3 = (df.apply(...) for df in [df1, df2, df3]) # or either .map or .applymap

这篇关于如何将功能应用于多个 pandas 数据框的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！