41. Concat Pandas DataFrames (Part 3) | Python Pandas Tutorial

The concat() method is used to concatenate pandas object (Series/DataFrames) along a particular axis (means Horizontally or Vertically). ----------------------------------------------- axis=0, ignore_index: bool = False, join='outer', keys=None, names=None, verify_integrity: bool = False, sort: bool = False, ------------------------------------ Parameters ----------------------------------- obj : a sequence or mapping of Series or DataFrame objects ------------------------------------ axis : {0/'index', 1/'columns'}, default 0 - axis = 0 Vertically (row) [Default] - axis = 1 Horizontally (Column). ------------------------------------ ignore_index: bool, default False - If True, do not use the index values along the concatenation axis. - The resulting axis will be labeled 0, ..., n - 1. - This is useful if you are concatenating objects where the concatenation axis does not have meaningful indexing information. ---------------------------------- The axis to concatenate along. join : {'inner', 'outer'}, default 'outer' - Inner join only returns rows whose index is present in both dataframes. ---------------------------------- - axis = 0 Vertically (row) [Default] - axis = 1 Horizontally (Column). ------------------------------------ keys: sequence, default None - Construct hierarchical index using the passed keys as the outermost level. ------------------------------------ names: list, default None - Names for the levels in the resulting hierarchical index. ------------------------------------ verify_integrity : bool, default False - Check whether the new concatenated axis contains duplicates. ------------------------------------ sort: bool, default False - Sort non-concatenation axis if it is not already aligned when 'join' is 'outer'. ------------------------------------ (Sort Columns if you are adding rows, Sort Rows if You are adding Columns) ------------------------------------ - This has no effect when join='inner' , which already preserves the order of the non-concatenation axis. Github Link: https://github.com/PRIYANG-BHATT/Datasets-Youtube-Pandas/tree/main/DS If you enjoy these tutorials, like the video, and give it a thumbs-up, and also share these videos with your friends and families if you think these videos would help him. Please consider clicking the SUBSCRIBE button to be notified of future videos. pandas concat dataframe concat pandas join two dataframes concat dataframe pandas pandas concat two dataframes combine two dataframes pandas pandas concatenate two dataframes pandas dataframe concat df concat concatenate two dataframes pandas concat dataframes #PandasConcat #ConcatPandasDataframes