AI engineering glossary · NumPy pandas visualization
What is pandas concat?
pandas concat (also called pd.concat): A pandas function that glues DataFrames or Series together, either stacking them vertically (adding rows) or placing them side by side (adding columns). Unlike a merge, it matches on the index rather than on chosen key columns and does not look for matching values.
pandas concat: an example
pd.concat([jan_df, feb_df, mar_df]) builds one table from three monthly files with the same columns.
Related terms
More NumPy pandas visualization terms
Where you learn it
pandas concat is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.