To merge two uneven dataframes without overwriting values, we can use pandas' "merge" function with outer join. Outer join will include all rows from both dataframes, filling in any missing values with NaN. Here is an example code that demonstrates this:
main.py326 chars12 lines
In this code, we first create two sample dataframes with overlapping column "A". We then merge these dataframes using "merge" function with "outer" join and "A" as the join key. This will result in a merged dataframe that includes all rows from both dataframes, filling in missing values with NaN. Finally, we print the merged dataframe.
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