Merging Multiple DataFrames | Merging More Than Two DataFrames | Conditional Merge | Advance Level 

All the best

Thank you very much, keep watching

would you mind mentioning the timeframe where you see me inserting the queries..

you can try these - Concatenation: If you have data frames with the same columns but different rows, you can use the pd.concat() function to concatenate them vertically. This function concatenates data frames along a particular axis and can be used to combine multiple data frames into a single data frame. Joining: If you have data frames with different columns but the same index or column names, you can use the df.join() function to join them horizontally. This function merges data frames based on their index or column names and can be used to combine data frames that share common keys. Appending: If you have data frames with the same columns and want to add more rows, you can use the df.append() function to append new rows to an existing data frame. This function appends rows to the end of the data frame and can be used to combine data frames that have the same structure. Merge with loop: If you have a list of data frames that you want to merge, you can use a loop to iterate through the list and merge each data frame with the previous one. This can be a more efficient way to merge multiple data frames than using .merge() every time.

Thanks for the reply :)

@@learnerea I never thought of merging with a loop - that’s way better than .merge() forever