Pandas is a special tool which allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame. DataFrames are 2-dimensional data structure in pandas. DataFrames consists of rows, columns and the data.
Pandas provides numerous ways to combine two Series or DataFames in order to perform effective and efficient data analytics. Sometimes our required data is not present in a single DataFrame and in that case we need to combine two or more DataFrames.
Pandas merge and pandas join are both the methods of combining or joining two DataFrames but the key difference between merge and join method allows us to combine the DataFrames on the basis of the index i.e., the row value where as merge method allows us to combine the DataFrames on the basis of specific columns instead of index values.
Python programming
For better understanding, let us first create a DataFrame,
Output:
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