如何使用不同的dtypes连接两个数据帧？

Question

I have a dataframe(df1) with index as a date range and no columns specified and another dataframe(df2) with float values in every column. I tried joining a specific column from df2 to df1 using .join() method and ended up with all values as NaN in df1. What should I do to solve this?

Answer 1

It's unclear what you mean without any example of the data or their shape, and without more details about what kind of 'join' you're trying to do. It sounds like you are trying to concatenate dataframes without relying on a column or index level names to join on. That's what join or merge try to do, so if you don't have common values on the on parameter of the join , you'll end up with nan s. If I'm correct and you just want a concatenation of dataframes, then you can use concat . I can't provide the code without more details, but it would look something like this:

new_df = pd.concat([df1, df2[['whatever_column_you_want_to_concatenate']]], axis=1)