How to merge 3 defferent comparative dataframes
Question:
I have 3 seperate data frames which are; close_price_df, returns_df and volume_df of multiple symbols in comparison. I would like to merge them in order of close_price_df, returns_df and volume_df. How can I achieve that?.
Here are the data frames;
My expected result should be like the image below.
Answers:
Use pd.concat()
pd.concat([close_price_df, returns_df, volume_df], axis=1)
Edit:
Since 3 dataframes that merged all have the same columns, the column name for each df better be prefixed first to avoid some problem.
close_price_df.columns= ['close_price_'+i for i in close_price_df.columns]
returns_df.columns= ['returns_'+i for i in returns_df.columns]
volume_df.columns= ['volume_'+i for i in volume_df.columns]
I have 3 seperate data frames which are; close_price_df, returns_df and volume_df of multiple symbols in comparison. I would like to merge them in order of close_price_df, returns_df and volume_df. How can I achieve that?.
Here are the data frames;
My expected result should be like the image below.
Use pd.concat()
pd.concat([close_price_df, returns_df, volume_df], axis=1)
Edit:
Since 3 dataframes that merged all have the same columns, the column name for each df better be prefixed first to avoid some problem.
close_price_df.columns= ['close_price_'+i for i in close_price_df.columns]
returns_df.columns= ['returns_'+i for i in returns_df.columns]
volume_df.columns= ['volume_'+i for i in volume_df.columns]